Daniel Han
|
346abbcdc1
|
Bug fixes (#1516)
* use exact model name
* Update save.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* Update _utils.py
* print
* Update _utils.py
* Update _utils.py
* Update llama.py
* Update _utils.py
* Update vision.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 loader.py
* accurate_accumulation
* Update loader.py
* Update loader.py
* Update _utils.py
* Update loader.py
* Update loader.py
* Update loader.py
* Update loader.py
* Update pyproject.toml
* Update __init__.py
* Update pyproject.toml
* Update __init__.py
* Update __init__.py
* Fix Triton heuristics
https://github.com/triton-lang/triton/issues/5224
* Update __init__.py
* Update __init__.py
* Update __init__.py
* Update __init__.py
* Xformers
* Update loader.py
* Update loader.py
* Rewind
* Update _utils.py
* Update _utils.py
* requires grad
* Update loader.py
* Update _utils.py
* Update loader.py
* changing model to base_model if peft model is already used
* Improve debugging experience (#1512)
* Create CONTRIBUTING.md (#1472)
Creating contributing guidelines
* Update CONTRIBUTING.md
improved sentence
* Improve logging control in `unsloth_compile_transformers` by conditionally redirecting stdout based on UNSLOTH_DISABLE_LOGGER environment variable
---------
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Nino Risteski <95188570+NinoRisteski@users.noreply.github.com>
* Update loader.py
* Update llama.py
* Update llama.py
* Revert "Update llama.py"
This reverts commit a8edd0931a.
* 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
* Update llama.py
* Update llama.py
* Update llama.py
* Auto change is_bfloat16_supported
* Update llama.py
* Force data-type
* Update llama.py
* All attention refactor fix (#1491)
* change initilization of n_heads, n_kv_heads, hidden_size in llama.py
* do the same for cohere, mistral, gemma2, granite
* do the same for flexattention,cohere, mistral, granite
* Update llama.py
* Update llama.py
* Update granite to work with latest post_patch methods (#1502)
* Update granite to work with latest post_patch methods
* Pass position_embeddings for granite even if transformers<4.47
* Update llama.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Minor fixes for granite models (#1503)
* Update granite.py
Grab residual multiplier directly from layer
* Update llama.py
Version should read >= 4.47.1 as that is the version requiring the changes
* Update granite.py
* Update llama.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* support modelscope models and datasets (#1481)
* support modelscope
* change modelscope args
* remove useless import
* remove useless import
* fix
* wip
* fix
* remove useless code
* add readme
* add some comments
* change print to raise error
* update comment
* Update loader.py
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
---------
Co-authored-by: Itsuro Tajima <tajima@georepublic.de>
Co-authored-by: Muhammad Osama <muhammadosama1994@gmail.com>
Co-authored-by: Edd <68678137+Erland366@users.noreply.github.com>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Nino Risteski <95188570+NinoRisteski@users.noreply.github.com>
Co-authored-by: Kareem <81531392+KareemMusleh@users.noreply.github.com>
Co-authored-by: Datta Nimmaturi <datta.nimmaturi@nutanix.com>
Co-authored-by: Z <coffeevampirebusiness@gmail.com>
Co-authored-by: tastelikefeet <58414341+tastelikefeet@users.noreply.github.com>
|
2025-01-07 04:23:14 -08:00 |
|
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 |
|