Daniel Han-Chen
|
4dda039cb1
|
Update chat_templates.py
|
2024-06-16 04:30:21 +10:00 |
|
Daniel Han-Chen
|
7f864dc8dd
|
Update llama.py
|
2024-06-16 04:15:11 +10:00 |
|
Daniel Han-Chen
|
f62237d186
|
Update llama.py
|
2024-06-16 04:11:04 +10:00 |
|
Daniel Han-Chen
|
80e82a2107
|
Update llama.py
|
2024-06-16 04:09:08 +10:00 |
|
Daniel Han-Chen
|
c4c4ff4a4a
|
Update llama.py
|
2024-06-16 04:05:05 +10:00 |
|
Daniel Han-Chen
|
a0232a7bac
|
Update llama.py
|
2024-06-16 04:02:48 +10:00 |
|
Daniel Han-Chen
|
31811cf02c
|
check PEFT and base
|
2024-06-16 03:56:20 +10:00 |
|
Daniel Han-Chen
|
979bb22e02
|
Merge branch 'main' into nightly
|
2024-06-16 03:40:13 +10:00 |
|
Daniel Han
|
6a5b3a445a
|
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-Chen
|
4cba3e2c6c
|
Update save.py
|
2024-06-16 02:57:33 +10:00 |
|
Daniel Han-Chen
|
fb54fbbc00
|
Update save.py
|
2024-06-16 01:16:05 +10:00 |
|
Daniel Han-Chen
|
513bd4d289
|
Multiple GGUF saving
|
2024-06-16 00:06:05 +10:00 |
|
Daniel Han-Chen
|
7e5155d5f4
|
Merge branch 'main' into nightly
|
2024-06-15 23:21:26 +10:00 |
|
Daniel Han-Chen
|
a3061b624b
|
gpu
|
2024-06-15 22:10:05 +10:00 |
|
Daniel Han-Chen
|
9bd5fad07d
|
Update gemma.py
|
2024-06-15 22:04:08 +10:00 |
|
Daniel Han
|
8ee9cc73ec
|
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-Chen
|
6656446151
|
Typo
|
2024-06-15 18:21:33 +10:00 |
|
Daniel Han-Chen
|
da1fe76fb4
|
Merge branch 'main' into nightly
|
2024-06-15 18:15:05 +10:00 |
|
Daniel Han-Chen
|
d855ef9f62
|
GPU support
|
2024-06-15 18:14:21 +10:00 |
|
Daniel Han-Chen
|
6d1ae234a4
|
Update llama.py
|
2024-06-15 17:46:45 +10:00 |
|
Daniel Han-Chen
|
dd3c6b1d39
|
Update llama.py
|
2024-06-15 17:44:23 +10:00 |
|
Daniel Han
|
7b4235514a
|
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-Chen
|
341565bba3
|
Update llama.py
|
2024-06-15 00:35:24 +10:00 |
|
Daniel Han-Chen
|
d4f4bce90a
|
Merge branch 'main' into nightly
|
2024-06-15 00:33:36 +10:00 |
|
Daniel Han-Chen
|
e5bf125140
|
Auto check rope scaling
|
2024-06-15 00:31:38 +10:00 |
|
Daniel Han-Chen
|
6633d4a9bb
|
Update mistral.py
|
2024-06-14 23:38:46 +10:00 |
|
Daniel Han-Chen
|
453cc48660
|
Update mistral.py
|
2024-06-14 23:32:58 +10:00 |
|
Daniel Han-Chen
|
7f28209ac5
|
Update mistral.py
|
2024-06-14 23:29:18 +10:00 |
|
Daniel Han-Chen
|
515b1ae45d
|
Update mistral.py
|
2024-06-14 23:09:21 +10:00 |
|
Daniel Han-Chen
|
28995abd7a
|
Update mistral.py
|
2024-06-14 23:05:24 +10:00 |
|
Daniel Han
|
b34a44e969
|
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>
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2024-06-14 20:59:45 +10:00 |
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Daniel Han-Chen
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7e6f000146
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FastMistralModel
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2024-06-14 20:54:47 +10:00 |
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Daniel Han-Chen
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e8b3cf01b1
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Update README.md
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2024-06-14 20:53:51 +10:00 |
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Daniel Han-Chen
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cdb1dbb5ff
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Update llama.py
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2024-06-14 20:42:19 +10:00 |
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Daniel Han-Chen
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d8d332ac83
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Update llama.py
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2024-06-14 20:37:10 +10:00 |
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Daniel Han-Chen
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fe8c06496f
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Update llama.py
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2024-06-14 20:32:01 +10:00 |
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Daniel Han-Chen
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b56b8b84dc
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Update qwen2.py
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2024-06-14 20:24:06 +10:00 |
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Daniel Han-Chen
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358103718f
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Update qwen2.py
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2024-06-14 20:19:37 +10:00 |
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Daniel Han-Chen
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1b93d7eee6
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Update qwen2.py
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2024-06-14 20:16:58 +10:00 |
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Daniel Han-Chen
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2401dee8ff
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Update mistral.py
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2024-06-14 20:15:47 +10:00 |
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Walter Korman
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6c031e4a32
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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>
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2024-06-14 18:11:28 +10:00 |
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Daniel Han-Chen
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b6f0fdb53d
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Update qwen2.py
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2024-06-14 18:07:42 +10:00 |
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Daniel Han-Chen
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d98e45e41b
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Update README.md
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2024-06-14 18:06:12 +10:00 |
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Daniel Han-Chen
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b82277f710
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docs
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2024-06-14 18:05:39 +10:00 |
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Daniel Han-Chen
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9c6d4155de
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Merge branch 'main' into nightly
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2024-06-14 17:45:56 +10:00 |
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Daniel Han-Chen
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7ac1a78904
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Update __init__.py
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2024-06-14 16:00:26 +10:00 |
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Daniel Han-Chen
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b74e321f92
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Update qwen2.py
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2024-06-14 04:44:52 +10:00 |
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Daniel Han-Chen
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411b881dba
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Merge branch 'main' into nightly
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2024-06-14 03:25:55 +10:00 |
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Daniel Han-Chen
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52ab81372d
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Update tokenizer_utils.py
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2024-06-14 03:24:28 +10:00 |
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Daniel Han
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d2c0c1bbda
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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>
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2024-06-14 02:58:08 +10:00 |
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