Daniel Han
77c46d60bc
Update README.md
July-Mistral-2024
2024-07-19 03:05:15 -07:00
Daniel Han
e1104151b4
Update README.md
2024-07-19 03:03:50 -07:00
Daniel Han
ded20b2462
Nightly ( #784 )
...
* Update __init__.py
* dynamic RoPE
* Update mistral.py
* Update llama.py
* Update tokenizer_utils.py
* Update mistral.py
* Update llama.py
* Update __init__.py
* Update flex_attention.py
* Update llama.py
* Update llama.py
* Mistral Nemo
* Update tokenizer_utils.py
* Update tokenizer_utils.py
* Update tokenizer_utils.py
2024-07-19 01:39:08 -07:00
Daniel Han
3f526a0d88
Merge branch 'main' into nightly
2024-07-19 01:38:47 -07:00
Daniel Han
3ac6ad8aea
Update tokenizer_utils.py
2024-07-19 01:29:52 -07:00
Daniel Han
6786fa425f
Nightly ( #783 )
...
* Update __init__.py
* dynamic RoPE
* Update mistral.py
* Update llama.py
* Update tokenizer_utils.py
* Update mistral.py
* Update llama.py
* Update __init__.py
* Update flex_attention.py
* Update llama.py
* Update llama.py
* Mistral Nemo
* Update tokenizer_utils.py
* Update tokenizer_utils.py
2024-07-19 01:24:46 -07:00
Daniel Han
dca3eca45d
Update tokenizer_utils.py
2024-07-19 01:06:41 -07:00
Daniel Han
9b464716c7
Update tokenizer_utils.py
2024-07-19 01:03:51 -07:00
Daniel Han
fab04d594b
Merge branch 'main' into nightly
2024-07-19 00:59:48 -07:00
Daniel Han
2837bb1fe3
Update tokenizer_utils.py
2024-07-19 00:41:35 -07:00
Daniel Han
bd2959d300
Mistral Nemo ( #782 )
...
* Update __init__.py
* dynamic RoPE
* Update mistral.py
* Update llama.py
* Update tokenizer_utils.py
* Update mistral.py
* Update llama.py
* Update __init__.py
* Update flex_attention.py
* Update llama.py
* Update llama.py
* Mistral Nemo
2024-07-19 00:14:24 -07:00
Daniel Han
f8a9421721
Mistral Nemo
2024-07-18 22:53:23 -07:00
Daniel Han
11d1ce83d3
Update llama.py
2024-07-18 22:07:23 -07:00
Daniel Han
e0a18a0c39
Update llama.py
2024-07-18 21:57:33 -07:00
Daniel Han
4998843cef
Merge branch 'main' into nightly
2024-07-18 21:55:10 -07:00
Daniel Han
3fd18f7707
Fix bugs ( #779 )
...
* Update __init__.py
* dynamic RoPE
* Update mistral.py
* Update llama.py
* Update tokenizer_utils.py
* Update mistral.py
* Update llama.py
* Update __init__.py
* Update flex_attention.py
2024-07-18 18:19:24 -07:00
Daniel Han
e48f5a7649
Update flex_attention.py
2024-07-18 18:18:09 -07:00
Daniel Han
9b8334b614
Update __init__.py
2024-07-18 14:43:03 -07:00
Daniel Han
dcb974cdc0
Update llama.py
2024-07-18 14:31:35 -07:00
Daniel Han
50727fa457
Update mistral.py
2024-07-18 13:33:13 -07:00
Daniel Han
7c4c93813f
Update tokenizer_utils.py
2024-07-18 13:25:30 -07:00
Daniel Han
55cf7cf934
Update llama.py
2024-07-18 12:33:22 -07:00
Daniel Han
1b27275a17
Update mistral.py
2024-07-18 12:08:49 -07:00
Daniel Han
2bf5c3ea83
dynamic RoPE
2024-07-18 12:06:38 -07:00
Daniel Han
69e4eabb93
Update __init__.py
2024-07-18 11:07:32 -07:00
Daniel Han
7fb3838c00
Update pyproject.toml
2024-07-18 10:59:09 -07:00
Daniel Han
d0a96c6ccf
Update __init__.py
2024-07-18 10:58:12 -07:00
Daniel Han
f3cd5e1925
Mistral Nemo 12b ( #777 )
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* 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
* Update _utils.py
* Update _utils.py
* Images
* Bug fixes
* Update pyproject.toml
* Bug fixes
* Update _utils.py
* Update _utils.py
* Deprecation fix
* Update chat_templates.py
* Now permitting use of pre-installed llama.cpp (#763 )
* Now permitting use of pre-installed llama.cpp
* Update save.py
---------
Co-authored-by: Giuseppe Strafforello <giuseppe.strafforello@titantechnologies.com>
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Deprecation & compile
* typo
* Update chat_templates.py
* Update chat_templates.py
* train_on_responses_only
* Update llama.py
* Update llama.py
* Update save.py
* Update gemma2.py
* Flex Attention
* typos
* Update _utils.py
* Update llama.py
* Update __init__.py
* Update flex_attention.py
* Update llama.py
* Update llama.py
* emulation
* Update __init__.py
* Update rope_embedding.py
* Update flex_attention.py
* Update flex_attention.py
* Update rope_embedding.py
* libdevice
* triton_tanh
* Update flex_attention.py
* Update flex_attention.py
* Update flex_attention.py
* Update flex_attention.py
* Update flex_attention.py
* score
* Update llama.py
* Update flex_attention.py
* Update flex_attention.py
* Update flex_attention.py
* Update flex_attention.py
* Update flex_attention.py
* Update llama.py
* Update flex_attention.py
* Update flex_attention.py
* Update flex_attention.py
* Update flex_attention.py
* Flex Attention removal
* upload tensorboard training stats to hub if available (#773 )
* causal_mask
* Update llama.py
* Update llama.py
* Update flex_attention.py
* Update _utils.py
* Update mapper.py
* Update _utils.py
---------
Co-authored-by: pepistrafforello <pepi.strafforello@gmail.com>
Co-authored-by: Giuseppe Strafforello <giuseppe.strafforello@titantechnologies.com>
Co-authored-by: Sébastien De Greef <sebdg@binarycompany.com>
2024-07-18 10:51:10 -07:00
Daniel Han
d5d427a7aa
Chat templates
2024-07-15 14:36:44 -07:00
Daniel Han
7b3b216fd3
Train on responses only ( #770 )
...
* 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
* Update _utils.py
* Update _utils.py
* Images
* Bug fixes
* Update pyproject.toml
* Bug fixes
* Update _utils.py
* Update _utils.py
* Deprecation fix
* Update chat_templates.py
* Now permitting use of pre-installed llama.cpp (#763 )
* Now permitting use of pre-installed llama.cpp
* Update save.py
---------
Co-authored-by: Giuseppe Strafforello <giuseppe.strafforello@titantechnologies.com>
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Update save.py
* Deprecation & compile
* typo
* Update chat_templates.py
* Update chat_templates.py
* train_on_responses_only
* Update llama.py
* Update llama.py
* Update save.py
* Update gemma2.py
---------
Co-authored-by: pepistrafforello <pepi.strafforello@gmail.com>
Co-authored-by: Giuseppe Strafforello <giuseppe.strafforello@titantechnologies.com>
2024-07-14 22:41:04 -07:00
Daniel Han
b9beb12b18
Many bug fixes ( #754 )
...
* 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
* Update _utils.py
* Update _utils.py
* Images
* Bug fixes
* Update pyproject.toml
* Bug fixes
* Update _utils.py
* Update _utils.py
2024-07-10 01:59:06 -07:00
Daniel Han
83e0568cee
Update llama.py
2024-07-08 10:44:19 -07:00
Daniel Han
67d24d12cf
Update llama.py
2024-07-08 10:38:49 -07:00
Daniel Han
b7f9c9e330
Update _utils.py
2024-07-08 10:01:20 -07:00
Daniel Han
24b2928637
Update llama.py
2024-07-07 15:46:36 -07:00
Daniel Han
ee4232759d
Nightly ( #744 )
...
* 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
* Update _utils.py
* Update _utils.py
2024-07-07 10:22:59 -07:00
Daniel Han
1e35bf2abd
Merge branch 'main' of https://github.com/unslothai/unsloth
2024-07-07 09:49:55 -07:00
Daniel Han
91f958cf3b
Update _utils.py
2024-07-07 09:49:45 -07:00
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 )
...
July-2024
* 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