Daniel Han
b1002ba236
Fix exec, eval ( #743 )
...
* Update gemma2.py
* Update llama.py
* Update llama.py
* Update gemma2.py
* init
* Update gemma2.py
* Update gemma2.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* All RoPE Scaling support
* cleanup
* Update llama.py
* Update llama.py
* Update _utils.py
* Update _utils.py
* exec
* exec
* Attention_Module
* attention_module
* imports
* exec
* Update llama.py
* Update llama.py
* boolean mask
* revert masking
* Update llama.py
* Update save.py
* Update llama.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update utils.py
* retry
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update _utils.py
* Update _utils.py
* Update gemma2.py
* Update chat_templates.py
* Gemma 2 Ollama support
* Update llama.py
* Update llama.py
* error handling
* Update _utils.py
* Update _utils.py
* Stats for debugging
* Update _utils.py
* Update _utils.py
* Debugging
* Update tokenizer_utils.py
* Update _utils.py
* Update cross_entropy_loss.py
* Update cross_entropy_loss.py
* Update cross_entropy_loss.py
* Update rms_layernorm.py
* Update rms_layernorm.py
* Update rms_layernorm.py
* Update rms_layernorm.py
* Update rms_layernorm.py
* Update rms_layernorm.py
* Update rms_layernorm.py
* Check exec, eval
2024-07-07 09:33:01 -07:00
Daniel Han
c6c6eb132f
Update llama.py
2024-07-06 23:59:03 -07:00
Daniel Han
4e9a343260
Debugging ( #739 )
...
* Update gemma2.py
* Update llama.py
* Update llama.py
* Update gemma2.py
* init
* Update gemma2.py
* Update gemma2.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* All RoPE Scaling support
* cleanup
* Update llama.py
* Update llama.py
* Update _utils.py
* Update _utils.py
* exec
* exec
* Attention_Module
* attention_module
* imports
* exec
* Update llama.py
* Update llama.py
* boolean mask
* revert masking
* Update llama.py
* Update save.py
* Update llama.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update utils.py
* retry
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update _utils.py
* Update _utils.py
* Update gemma2.py
* Update chat_templates.py
* Gemma 2 Ollama support
* Update llama.py
* Update llama.py
* error handling
* Update _utils.py
* Update _utils.py
* Stats for debugging
* Update _utils.py
* Update _utils.py
* Debugging
* Update tokenizer_utils.py
* Update _utils.py
2024-07-06 18:50:00 -07:00
Daniel Han
609c95454d
Gemma 2 bug fixes + All RoPE Scaling Support ( #736 )
...
* Update gemma2.py
* Update llama.py
* Update llama.py
* Update gemma2.py
* init
* Update gemma2.py
* Update gemma2.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* All RoPE Scaling support
* cleanup
* Update llama.py
* Update llama.py
* Update _utils.py
* Update _utils.py
* exec
* exec
* Attention_Module
* attention_module
* imports
* exec
* Update llama.py
* Update llama.py
* boolean mask
* revert masking
* Update llama.py
* Update save.py
* Update llama.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update utils.py
* retry
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update _utils.py
* Update _utils.py
* Update gemma2.py
* Update chat_templates.py
* Gemma 2 Ollama support
* Update llama.py
* Update llama.py
2024-07-05 23:48:42 -07:00
Daniel Han
595f5a29a1
Fix GGUF ( #731 )
...
* Update mapper.py
* Update Model Conversion Command in `save.py` to `convert_hf_to_gguf.py` (#730 )
* Updated convert_hf_to_gguf.py call to align with changes in llama.cpp repository
* Update save.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Typo Fix (#690 )
---------
Co-authored-by: M. Ali Bayram <malibayram91@gmail.com>
Co-authored-by: johnpaulbin <johnpaulbin@gmail.com>
2024-07-04 13:26:57 -07:00
Daniel Han
dae0870fd7
Gemma2 ( #723 )
...
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
---------
Co-authored-by: Michael <107991372+shimmyshimmer@users.noreply.github.com>
2024-07-03 12:12:21 -07:00
Daniel Han
cfafc707a1
Gemma2 ( #709 )
...
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651 )
* Nightly (#649 )
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving
* Implemented better list management and then forgot to actually call the new list variable, fixed
* Check type of given quantization method and return type error if not list or string
* Update save.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652 )
This reverts commit 506cb68867296237e95bc53c32f1bfc9b1757960.
* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653 )
This reverts commit 2f48cc9af385579876fd45bd833169d1f1a2ea58.
* Update llama.py
* peft
* patch
* Update loader.py
* retrain
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* offload
* Update llama.py
* Create a starter script for command-line training to integrate in ML ops pipelines. (#623 )
* Update chat_templates.py
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Ollama
* Update chat_templates.py
* ollama
* Update mapper.py
* Update chat_templates.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Fixes
* clearer messages
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update llama.py
* Update llama.py
* log
* Update __init__.py
* Update llama.py
* Update __init__.py
* Create Merge.png
* Create ollama.png
* Gemma2
* Update llama.py
* Update loader.py
* Update pyproject.toml
* Update pyproject.toml
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update _utils.py
* Revert Gemma2
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update rms_layernorm.py
* Update gemma2.py
* logit softcapping
* Update cross_entropy_loss.py
* Update llama.py
* Update llama.py
* Update gemma2.py
* Update gemma2.py
* Update cross_entropy_loss.py
* Update llama.py
* Update llama.py
* Update cross_entropy_loss.py
* Update cross_entropy_loss.py
* Update llama.py
* Update cross_entropy_loss.py
* Update cross_entropy_loss.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update llama.py
* Update gemma2.py
* Update llama.py
* Update llama.py
* Update gemma2.py
* Update gemma2.py
* Update llama.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update gemma2.py
* Update _utils.py
* Update _utils.py
* Update gemma2.py
* compile flags
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update gemma2.py
* Update gemma2.py
* fixes
* Update _utils.py
* Fix generation
* Update llama.py
* Update llama.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* pad token
* Update gemma2.py
* pad token
* Update _utils.py
* Update llama.py
* Update gemma2.py
* edit warning
* Update tokenizer_utils.py
---------
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
Co-authored-by: ArcadaLabs-Jason <52756218+ArcadaLabs-Jason@users.noreply.github.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
2024-07-02 22:51:01 -07:00
Daniel Han
71e5bad518
Nightly ( #676 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651 )
* Nightly (#649 )
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving
* Implemented better list management and then forgot to actually call the new list variable, fixed
* Check type of given quantization method and return type error if not list or string
* Update save.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652 )
This reverts commit 506cb68867296237e95bc53c32f1bfc9b1757960.
* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653 )
This reverts commit 2f48cc9af385579876fd45bd833169d1f1a2ea58.
* Update llama.py
* peft
* patch
* Update loader.py
* retrain
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* offload
* Update llama.py
* Create a starter script for command-line training to integrate in ML ops pipelines. (#623 )
* Update chat_templates.py
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Ollama
* Update chat_templates.py
* ollama
* Update mapper.py
* Update chat_templates.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Fixes
* clearer messages
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update llama.py
* Update llama.py
* log
* Update __init__.py
* Update llama.py
* Update __init__.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
Co-authored-by: ArcadaLabs-Jason <52756218+ArcadaLabs-Jason@users.noreply.github.com>
2024-06-21 15:32:26 +10:00
Daniel Han
c19e2e1015
Nightly ( #673 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651 )
* Nightly (#649 )
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving
* Implemented better list management and then forgot to actually call the new list variable, fixed
* Check type of given quantization method and return type error if not list or string
* Update save.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652 )
This reverts commit 506cb68867296237e95bc53c32f1bfc9b1757960.
* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653 )
This reverts commit 2f48cc9af385579876fd45bd833169d1f1a2ea58.
* Update llama.py
* peft
* patch
* Update loader.py
* retrain
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* offload
* Update llama.py
* Create a starter script for command-line training to integrate in ML ops pipelines. (#623 )
* Update chat_templates.py
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Ollama
* Update chat_templates.py
* ollama
* Update mapper.py
* Update chat_templates.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Fixes
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
Co-authored-by: ArcadaLabs-Jason <52756218+ArcadaLabs-Jason@users.noreply.github.com>
2024-06-21 00:28:52 +10:00
Daniel Han
abaac826e1
Ollama ( #671 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651 )
* Nightly (#649 )
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving
* Implemented better list management and then forgot to actually call the new list variable, fixed
* Check type of given quantization method and return type error if not list or string
* Update save.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652 )
This reverts commit 506cb68867296237e95bc53c32f1bfc9b1757960.
* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653 )
This reverts commit 2f48cc9af385579876fd45bd833169d1f1a2ea58.
* Update llama.py
* peft
* patch
* Update loader.py
* retrain
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* offload
* Update llama.py
* Create a starter script for command-line training to integrate in ML ops pipelines. (#623 )
* Update chat_templates.py
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Ollama
* Update chat_templates.py
* ollama
* Update mapper.py
* Update chat_templates.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
Co-authored-by: ArcadaLabs-Jason <52756218+ArcadaLabs-Jason@users.noreply.github.com>
2024-06-20 22:28:28 +10:00
Daniel Han-Chen
14362c225a
Update chat_templates.py
2024-06-20 19:49:38 +10:00
Daniel Han-Chen
b62451f912
Update chat_templates.py
2024-06-20 19:45:02 +10:00
Daniel Han
733cd5b48b
Ollama bug fixes ( #667 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651 )
* Nightly (#649 )
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving
* Implemented better list management and then forgot to actually call the new list variable, fixed
* Check type of given quantization method and return type error if not list or string
* Update save.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652 )
This reverts commit 506cb68867296237e95bc53c32f1bfc9b1757960.
* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653 )
This reverts commit 2f48cc9af385579876fd45bd833169d1f1a2ea58.
* Update llama.py
* peft
* patch
* Update loader.py
* retrain
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* offload
* Update llama.py
* Create a starter script for command-line training to integrate in ML ops pipelines. (#623 )
* Update chat_templates.py
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Ollama
* Update chat_templates.py
* ollama
* Update mapper.py
* Update chat_templates.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* Update save.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
Co-authored-by: ArcadaLabs-Jason <52756218+ArcadaLabs-Jason@users.noreply.github.com>
2024-06-20 04:55:13 +10:00
Daniel Han
196635e959
Ollama ( #665 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651 )
* Nightly (#649 )
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving
* Implemented better list management and then forgot to actually call the new list variable, fixed
* Check type of given quantization method and return type error if not list or string
* Update save.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652 )
This reverts commit 506cb68867296237e95bc53c32f1bfc9b1757960.
* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653 )
This reverts commit 2f48cc9af385579876fd45bd833169d1f1a2ea58.
* Update llama.py
* peft
* patch
* Update loader.py
* retrain
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* offload
* Update llama.py
* Create a starter script for command-line training to integrate in ML ops pipelines. (#623 )
* Update chat_templates.py
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
Co-authored-by: ArcadaLabs-Jason <52756218+ArcadaLabs-Jason@users.noreply.github.com>
2024-06-19 04:53:26 +10:00
Daniel Han
b9a71ac370
Fix continuing LoRA finetuning ( #656 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651 )
* Nightly (#649 )
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving
* Implemented better list management and then forgot to actually call the new list variable, fixed
* Check type of given quantization method and return type error if not list or string
* Update save.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652 )
This reverts commit 506cb68867296237e95bc53c32f1bfc9b1757960.
* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653 )
This reverts commit 2f48cc9af385579876fd45bd833169d1f1a2ea58.
* Update llama.py
* peft
* patch
* Update loader.py
* retrain
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
Co-authored-by: ArcadaLabs-Jason <52756218+ArcadaLabs-Jason@users.noreply.github.com>
2024-06-17 00:39:20 +10:00
Daniel Han
0eb55f4290
Fix GGUF ( #654 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651 )
* Nightly (#649 )
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving
* Implemented better list management and then forgot to actually call the new list variable, fixed
* Check type of given quantization method and return type error if not list or string
* Update save.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652 )
This reverts commit 506cb68867296237e95bc53c32f1bfc9b1757960.
* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653 )
This reverts commit 2f48cc9af385579876fd45bd833169d1f1a2ea58.
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
Co-authored-by: ArcadaLabs-Jason <52756218+ArcadaLabs-Jason@users.noreply.github.com>
2024-06-16 14:51:58 +10:00
Daniel Han
59fffc57de
Nightly ( #649 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
* check PEFT and base
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update chat_templates.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
2024-06-16 04:32:21 +10:00
Daniel Han
6a673412ec
Nightly ( #648 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
* Update gemma.py
* gpu
* Multiple GGUF saving
* Update save.py
* Update save.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
2024-06-16 03:39:00 +10:00
Daniel Han
b1cc523bda
Nightly ( #646 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
* Update llama.py
* Update llama.py
* GPU support
* Typo
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
2024-06-15 18:26:25 +10:00
Daniel Han
96e2fa423e
Fix segfaults ( #641 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Update mistral.py
* Auto check rope scaling
* Update llama.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
2024-06-15 00:52:33 +10:00
Daniel Han
9116eef815
Qwen bug fixes ( #639 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
* Update qwen2.py
* docs
* Update README.md
* Update qwen2.py
* README: Fix minor typo. (#559 )
* README: Fix minor typo.
One-character typo fix while reading.
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update mistral.py
* Update qwen2.py
* Update qwen2.py
* Update qwen2.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update README.md
* FastMistralModel
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
Co-authored-by: Walter Korman <lemurware@gmail.com>
2024-06-14 20:59:45 +10:00
Daniel Han-Chen
fffa36d6c9
Update __init__.py
2024-06-14 16:00:26 +10:00
Daniel Han-Chen
0dc7c1b033
Update tokenizer_utils.py
2024-06-14 03:24:28 +10:00
Daniel Han
83671ff13b
Nightly ( #632 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
* Update tokenizer_utils.py
* fix case where gguf saving fails due to first_conversion dtype (#630 )
* Support revision parameter in FastLanguageModel.from_pretrained (#629 )
* support `revision` parameter
* match unsloth formatting of named parameters
* clears any selected_adapters before calling internal_model.save_pretrained (#609 )
* Update __init__.py (#602 )
Check for incompatible modules before importing unsloth
* Fixed unsloth/tokenizer_utils.py for chat training (#604 )
* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345 )
* Add save to llama.cpp GGML to save.py.
* Fix conversion command and path of convert to GGML function.
* Add autosaving lora to the GGML function
* Create lora save function for conversion to GGML
* Test fix #2 for saving lora
* Test fix #3 to save the lora adapters to convert to GGML
* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.
* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.
* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.
* Test fix 1 for arch
* Test fix 2 new Mistral error.
* Test fix 3
* Revert to old version for testing.
* Upload issue test fix 1
* Fix 2 uploading ggml
* Positional ags added.
* Temporray remove positional args
* Fix upload again!!!
* Add print statements and fix link
* Make the calling name better
* Create local saving for GGML
* Add choosing directory to save local GGML.
* Fix lil variable error in the save_to_custom_dir func
* docs: Add LoraConfig parameters documentation (#619 )
* llama.cpp failing (#371 )
llama.cpp is failing to generate quantize versions for the trained models.
Error:
```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```
But when i do clone this with recursive it works.
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix libcuda_dirs import for triton 3.0 (#227 )
* fix libcuda_dirs import for triton 3.0
* Update __init__.py
* Update __init__.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update __init__.py
* Update fast_lora.py
* Update save.py
* Update save.py
* Update save.py
* Update loader.py
* Update save.py
* Update save.py
* quantize now llama-quantize
* Update chat_templates.py
* Update loader.py
* Update mapper.py
* Update __init__.py
* embedding size
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Eliot Hall <60240707+chrehall68@users.noreply.github.com>
Co-authored-by: Rickard Edén <rickardeden@gmail.com>
Co-authored-by: XiaoYang <xyangk@gmail.com>
Co-authored-by: Oseltamivir <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: mahiatlinux <110882203+mahiatlinux@users.noreply.github.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
Co-authored-by: Alberto Ferrer <albertof@barrahome.org>
Co-authored-by: Thomas Viehmann <tv.github-private@beamnet.de>
2024-06-14 02:58:08 +10:00
Daniel Han
23a8f5809d
Ollama Chat Templates ( #582 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
* Update save.py
* Update save.py
* Update save.py
* Update save.py
* remove_special_tokens
* Ollama
* Update chat_templates.py
* Update chat_templates.py
* Update chat_templates.py
* Update llama.py
* Update chat_templates.py
* Support bfloat16 GGUF
* Update save.py
* Update llama.py
* fast_forward_inference
* Update mapper.py
* Update loader.py
* Update llama.py
* Update tokenizer_utils.py
* info
* edits
* Create chat template
* Fix tokenizer
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
2024-06-13 05:04:54 +10:00
Daniel Han-Chen
4773950b65
Update llama.py
2024-06-07 04:54:57 +10:00
Daniel Han-Chen
82520f5e4c
Update llama.py
2024-06-07 04:25:33 +10:00
Daniel Han-Chen
bc2b9f11d8
Update utils.py
2024-06-07 03:47:44 +10:00
Daniel Han-Chen
23e4103895
Qwen2
2024-06-07 02:53:17 +10:00
Daniel Han-Chen
9989591817
Update pyproject.toml
2024-06-06 01:22:29 +10:00
Daniel Han-Chen
d2fa16aafa
Update llama.py
2024-06-05 20:57:08 +10:00
Daniel Han-Chen
0eab5152d2
Update README.md
2024-06-05 06:15:27 +10:00
Daniel Han-Chen
b52f372944
Update README.md
2024-06-05 06:14:11 +10:00
Daniel Han
1b798b3a97
Fix #563 ( #564 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* accelerate
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update tokenizer_utils.py
* train_dataloader
* Update llama.py
* Update llama.py
* Update llama.py
* use_fast_convert
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
2024-05-31 00:41:44 +10:00
Daniel Han
d86f18a2d6
Fix Phi-3 ( #556 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
* Update _utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
2024-05-29 14:30:26 +10:00
Daniel Han
4ed58ab212
Nightly ( #548 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
* Update save.py
* Update README.md
Mistral v3 to Mistral v0.3
* Untrained tokens
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update save.py
* Update save.py
* Update save.py
* checkpoint
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
2024-05-29 00:30:38 +10:00
Daniel Han-Chen
13d5917415
Update tokenizer_utils.py
2024-05-24 11:21:29 +10:00
Z
a2180942b6
Update _utils.py ( #520 )
...
Fixed a typo in the tokenizer fixer.
2024-05-24 11:10:06 +10:00
Daniel Han
32b5f8daf0
Phi-3, Llama-3 bug fixes ( #519 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
* Phi-3
2024-05-24 06:36:10 +10:00
Daniel Han
57bb5ad0f6
Phi 3 Medium ( #518 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
* Phi 3 medium
* Update chat_templates.py
* Update chat_templates.py
2024-05-24 04:24:01 +10:00
Daniel Han-Chen
425655ecec
Update README.md
2024-05-23 04:31:26 +10:00
Daniel Han
d0b92ea58b
Mistral v3 ( #514 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
* Mistral v3
2024-05-23 04:15:02 +10:00
Daniel Han
3b71dd7300
Fix is_bfloat16_supported missing ( #510 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
* is_bfloat16_supported
* Update __init__.py
2024-05-22 20:40:57 +10:00
Daniel Han
5fc27f1f96
Nightly ( #506 )
...
* Update llama.py
* offload
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* continued pretraining trainer
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* is_bfloat16_supported
* Update __init__.py
* Update README.md
* Update llama.py
2024-05-22 04:45:57 +10:00
Daniel Han
0eb57384bd
Nightly ( #483 )
...
* peft issue
* Update save.py
* Update __init__.py
* Update pyproject.toml
2024-05-17 23:46:33 +10:00
Daniel Han-Chen
0c2f3952b7
Squashed commit of the following:
...
commit 23bd794c246e9c90c453c9f2ab41a21ac1e41b9d
Author: Daniel Han-Chen <danielhanchen@gmail.com>
Date: Fri May 17 14:16:39 2024 +1000
Update save.py
commit c12cc6c2b13333c4c6709e0ee88665b08c672887
Author: Daniel Han-Chen <danielhanchen@gmail.com>
Date: Fri May 17 04:14:05 2024 +1000
peft issue
2024-05-17 14:18:52 +10:00
Daniel Han
774002fc46
peft issue ( #480 )
2024-05-17 04:18:18 +10:00
Daniel Han
c7e9158b29
Fix generation ( #472 )
...
* Fix prompt
* Update chat_templates.py
* fix_untrained_tokens
* Update llama.py
* add tokens
* Update _utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* pad_token
* Update chat_templates.py
* Update chat_templates.py
* tokenizer
* Update save.py
* Update chat_templates.py
* Update chat_templates.py
* patch tokenizer padding
* Update tokenizer_utils.py
* Update save.py
* Fix: loading models with resized vocabulary (#377 )
* new: vocab resize on load
* new: gitignore
* GGUF fix
* Readme (#390 )
* Update README.md
* Update README.md
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
* Update README.md
* Delete .gitignore
* Phi-3
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Fix reserved tokens
* Update save.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update chat_templates.py
* Update save.py
* Update _utils.py
* Update chat_templates.py
* Adds dependencies and extras for torch 2.3.0 with new xformers versions (#415 )
* Adds dependencies and extras for torch 2.3.0 with new xformers versions
* Add 2.3.0 section to readme
* Support Qwen2 (#428 )
* support Qwen2
* support Qwen2
* Delete README.md
* Revert "Delete README.md"
This reverts commit 9dde82c35d446393946c3497ad5cf96a2b59197e.
* Update README.md
* Qwen2 == Mistral
* Update llama.py
* Update __init__.py
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update save.py
* Update _utils.py
* Update save.py
* Update save.py
* Update save.py
* test_hf_gguf_equivalence
* Update chat_templates.py
* Update chat_templates.py
* --pad-vocab
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Unspecified max_seq_length
* possible_pad_token
* Update tokenizer_utils.py
* past_key_values
* Update llama.py
* Update llama.py
* Update llama.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* _wrap_fast_inference
* Update llama.py
* Update llama.py
* flag
---------
Co-authored-by: Igor Kilbas <whitemarsstudios@gmail.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Nathan Azrak <42650258+nathan-az@users.noreply.github.com>
Co-authored-by: Yang JianXin <995462226@qq.com>
2024-05-16 15:09:42 +10:00
Daniel Han
b61caacece
Nightly ( #461 )
...
* Fix prompt
* Update chat_templates.py
* fix_untrained_tokens
* Update llama.py
* add tokens
* Update _utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* pad_token
* Update chat_templates.py
* Update chat_templates.py
* tokenizer
* Update save.py
* Update chat_templates.py
* Update chat_templates.py
* patch tokenizer padding
* Update tokenizer_utils.py
* Update save.py
* Fix: loading models with resized vocabulary (#377 )
* new: vocab resize on load
* new: gitignore
* GGUF fix
* Readme (#390 )
* Update README.md
* Update README.md
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
* Update README.md
* Delete .gitignore
* Phi-3
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Fix reserved tokens
* Update save.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update chat_templates.py
* Update save.py
* Update _utils.py
* Update chat_templates.py
* Adds dependencies and extras for torch 2.3.0 with new xformers versions (#415 )
* Adds dependencies and extras for torch 2.3.0 with new xformers versions
* Add 2.3.0 section to readme
* Support Qwen2 (#428 )
* support Qwen2
* support Qwen2
* Delete README.md
* Revert "Delete README.md"
This reverts commit 9dde82c35d446393946c3497ad5cf96a2b59197e.
* Update README.md
* Qwen2 == Mistral
* Update llama.py
* Update __init__.py
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update save.py
* Update _utils.py
* Update save.py
* Update save.py
* Update save.py
* test_hf_gguf_equivalence
* Update chat_templates.py
* Update chat_templates.py
* --pad-vocab
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Unspecified max_seq_length
* possible_pad_token
* Update tokenizer_utils.py
---------
Co-authored-by: Igor Kilbas <whitemarsstudios@gmail.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Nathan Azrak <42650258+nathan-az@users.noreply.github.com>
Co-authored-by: Yang JianXin <995462226@qq.com>
2024-05-14 04:51:23 +10:00
Daniel Han
66fab81a26
May 2024 Prelim ( #447 )
...
* Fix prompt
* Update chat_templates.py
* fix_untrained_tokens
* Update llama.py
* add tokens
* Update _utils.py
* Update tokenizer_utils.py
* Update llama.py
* Update llama.py
* Update llama.py
* Update llama.py
* pad_token
* Update chat_templates.py
* Update chat_templates.py
* tokenizer
* Update save.py
* Update chat_templates.py
* Update chat_templates.py
* patch tokenizer padding
* Update tokenizer_utils.py
* Update save.py
* Fix: loading models with resized vocabulary (#377 )
* new: vocab resize on load
* new: gitignore
* GGUF fix
* Readme (#390 )
* Update README.md
* Update README.md
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
* Update README.md
* Delete .gitignore
* Phi-3
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Fix reserved tokens
* Update save.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update chat_templates.py
* Update save.py
* Update _utils.py
* Update chat_templates.py
* Adds dependencies and extras for torch 2.3.0 with new xformers versions (#415 )
* Adds dependencies and extras for torch 2.3.0 with new xformers versions
* Add 2.3.0 section to readme
* Support Qwen2 (#428 )
* support Qwen2
* support Qwen2
* Delete README.md
* Revert "Delete README.md"
This reverts commit 9dde82c35d446393946c3497ad5cf96a2b59197e.
* Update README.md
* Qwen2 == Mistral
* Update llama.py
* Update __init__.py
* Update README.md
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Update save.py
* Update _utils.py
* Update save.py
* Update save.py
* Update save.py
* test_hf_gguf_equivalence
* Update chat_templates.py
* Update chat_templates.py
* --pad-vocab
* Update tokenizer_utils.py
---------
Co-authored-by: Igor Kilbas <whitemarsstudios@gmail.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Nathan Azrak <42650258+nathan-az@users.noreply.github.com>
Co-authored-by: Yang JianXin <995462226@qq.com>
2024-05-13 05:22:03 +10:00
Daniel Han