Heyang Sun
913e750b01
fix non-string deepseed config path bug ( #11476 )
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* fix non-string deepseed config path bug
* Update lora_finetune_chatglm.py
2024-07-01 15:53:50 +08:00
Heyang Sun
07362ffffc
ChatGLM3-6B LoRA Fine-tuning Demo ( #11450 )
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* ChatGLM3-6B LoRA Fine-tuning Demo
* refine
* refine
* add 2-card deepspeed
* refine format
* add mpi4py and deepspeed install
2024-07-01 09:18:39 +08:00
Heyang Sun
c985912ee3
Add Deepspeed LoRA dependencies in document ( #11410 )
2024-06-24 15:29:59 +08:00
Heyang Sun
67a1e05876
Remove zero3 context manager from LoRA ( #11346 )
2024-06-18 17:24:43 +08:00
Shaojun Liu
694912698e
Upgrade scikit-learn to 1.5.0 to fix dependabot issue ( #11349 )
2024-06-18 15:47:25 +08:00
Heyang Sun
00f322d8ee
Finetune ChatGLM with Deepspeed Zero3 LoRA ( #11314 )
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* Fintune ChatGLM with Deepspeed Zero3 LoRA
* add deepspeed zero3 config
* rename config
* remove offload_param
* add save_checkpoint parameter
* Update lora_deepspeed_zero3_finetune_chatglm3_6b_arc_2_card.sh
* refine
2024-06-18 12:31:26 +08:00
Qiyuan Gong
de4bb97b4f
Remove accelerate 0.23.0 install command in readme and docker ( #11333 )
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*ipex-llm's accelerate has been upgraded to 0.23.0. Remove accelerate 0.23.0 install command in README and docker。
2024-06-17 17:52:12 +08:00
Qiyuan Gong
15a6205790
Fix LoRA tokenizer for Llama and chatglm ( #11186 )
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* Set pad_token to eos_token if it's None. Otherwise, use model config.
2024-06-03 15:35:38 +08:00
Qiyuan Gong
120a0035ac
Fix type mismatch in eval for Baichuan2 QLora example ( #11117 )
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* During the evaluation stage, Baichuan2 will raise type mismatch when training with bfloat16. Fix this issue by modifying modeling_baichuan.py. Add doc about how to modify this file.
2024-05-24 14:14:30 +08:00
Qiyuan Gong
f6c9ffe4dc
Add WANDB_MODE and HF_HUB_OFFLINE to XPU finetune README ( #11097 )
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* Add WANDB_MODE=offline to avoid multi-GPUs finetune errors.
* Add HF_HUB_OFFLINE=1 to avoid Hugging Face related errors.
2024-05-22 15:20:53 +08:00
Qiyuan Gong
492ed3fd41
Add verified models to GPU finetune README ( #11088 )
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* Add verified models to GPU finetune README
2024-05-21 15:49:15 +08:00
Qiyuan Gong
1210491748
ChatGLM3, Baichuan2 and Qwen1.5 QLoRA example ( #11078 )
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* Add chatglm3, qwen15-7b and baichuan-7b QLoRA alpaca example
* Remove unnecessary tokenization setting.
2024-05-21 15:29:43 +08:00
Ziteng Zhang
7d3791c819
[LLM] Add llama3 alpaca qlora example ( #11011 )
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* Add llama3 finetune example based on alpaca qlora example
2024-05-15 09:17:32 +08:00
Qiyuan Gong
c957ea3831
Add axolotl main support and axolotl Llama-3-8B QLoRA example ( #10984 )
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* Support axolotl main (796a085).
* Add axolotl Llama-3-8B QLoRA example.
* Change `sequence_len` to 256 for alpaca, and revert `lora_r` value.
* Add example to quick_start.
2024-05-14 13:43:59 +08:00
Qiyuan Gong
164e6957af
Refine axolotl quickstart ( #10957 )
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* Add default accelerate config for axolotl quickstart.
* Fix requirement link.
* Upgrade peft to 0.10.0 in requirement.
2024-05-08 09:34:02 +08:00
Qiyuan Gong
c11170b96f
Upgrade Peft to 0.10.0 in finetune examples and docker ( #10930 )
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* Upgrade Peft to 0.10.0 in finetune examples.
* Upgrade Peft to 0.10.0 in docker.
2024-05-07 15:12:26 +08:00
Qiyuan Gong
d7ca5d935b
Upgrade Peft version to 0.10.0 for LLM finetune ( #10886 )
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* Upgrade Peft version to 0.10.0
* Upgrade Peft version in ARC unit test and HF-Peft example.
2024-05-07 15:09:14 +08:00
Qiyuan Gong
5494aa55f6
Downgrade datasets in axolotl example ( #10849 )
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* Downgrade datasets to 2.15.0 to address axolotl prepare issue https://github.com/OpenAccess-AI-Collective/axolotl/issues/1544
Tks to @kwaa for providing the solution in https://github.com/intel-analytics/ipex-llm/issues/10821#issuecomment-2068861571
2024-04-23 09:41:58 +08:00
Heyang Sun
fc33aa3721
fix missing import ( #10839 )
2024-04-22 14:34:52 +08:00
Qiyuan Gong
e90e31719f
axolotl lora example ( #10789 )
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* Add axolotl lora example
* Modify readme
* Add comments in yml
2024-04-18 16:38:32 +08:00
Ziteng Zhang
ff040c8f01
LISA Finetuning Example ( #10743 )
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* enabling xetla only supports qtype=SYM_INT4 or FP8E5
* LISA Finetuning Example on gpu
* update readme
* add licence
* Explain parameters of lisa & Move backend codes to src dir
* fix style
* fix style
* update readme
* support chatglm
* fix style
* fix style
* update readme
* fix
2024-04-18 13:48:10 +08:00
Heyang Sun
581ebf6104
GaLore Finetuning Example ( #10722 )
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* GaLore Finetuning Example
* Update README.md
* Update README.md
* change data to HuggingFaceH4/helpful_instructions
* Update README.md
* Update README.md
* shrink train size and delete cache before starting training to save memory
* Update README.md
* Update galore_finetuning.py
* change model to llama2 3b
* Update README.md
2024-04-18 13:47:41 +08:00
Qiyuan Gong
9e5069437f
Fix gradio version in axolotl example ( #10776 )
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* Change to gradio>=4.19.2
2024-04-17 10:23:43 +08:00
Qiyuan Gong
f2e923b3ca
Axolotl v0.4.0 support ( #10773 )
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* Add Axolotl 0.4.0, remove legacy 0.3.0 support.
* replace is_torch_bf16_gpu_available
* Add HF_HUB_OFFLINE=1
* Move transformers out of requirement
* Refine readme and qlora.yml
2024-04-17 09:49:11 +08:00
Qiyuan Gong
d30b22a81b
Refine axolotl 0.3.0 documents and links ( #10764 )
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* Refine axolotl 0.3 based on comments
* Rename requirements to requirement-xpu
* Add comments for paged_adamw_32bit
* change lora_r from 8 to 16
2024-04-16 14:47:45 +08:00
Qiyuan Gong
2d64630757
Remove transformers version in axolotl example ( #10736 )
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* Remove transformers version in axolotl requirements.txt
2024-04-11 14:02:31 +08:00
Qiyuan Gong
b727767f00
Add axolotl v0.3.0 with ipex-llm on Intel GPU ( #10717 )
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* Add axolotl v0.3.0 support on Intel GPU.
* Add finetune example on llama-2-7B with Alpaca dataset.
2024-04-10 14:38:29 +08:00
Shaojun Liu
f37a1f2a81
Upgrade to python 3.11 ( #10711 )
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* create conda env with python 3.11
* recommend to use Python 3.11
* update
2024-04-09 17:41:17 +08:00
Jin Qiao
10ee786920
Replace with IPEX-LLM in example comments ( #10671 )
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* Replace with IPEX-LLM in example comments
* More replacement
* revert some changes
2024-04-07 13:29:51 +08:00
ZehuaCao
52a2135d83
Replace ipex with ipex-llm ( #10554 )
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* fix ipex with ipex_llm
* fix ipex with ipex_llm
* update
* update
* update
* update
* update
* update
* update
* update
2024-03-28 13:54:40 +08:00
Cheen Hau, 俊豪
1c5eb14128
Update pip install to use --extra-index-url for ipex package ( #10557 )
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* Change to 'pip install .. --extra-index-url' for readthedocs
* Change to 'pip install .. --extra-index-url' for examples
* Change to 'pip install .. --extra-index-url' for remaining files
* Fix URL for ipex
* Add links for ipex US and CN servers
* Update ipex cpu url
* remove readme
* Update for github actions
* Update for dockerfiles
2024-03-28 09:56:23 +08:00
Wang, Jian4
16b2ef49c6
Update_document by heyang ( #30 )
2024-03-25 10:06:02 +08:00
Wang, Jian4
9df70d95eb
Refactor bigdl.llm to ipex_llm ( #24 )
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* Rename bigdl/llm to ipex_llm
* rm python/llm/src/bigdl
* from bigdl.llm to from ipex_llm
2024-03-22 15:41:21 +08:00
binbin Deng
2958ca49c0
LLM: add patching function for llm finetuning ( #10247 )
2024-03-21 16:01:01 +08:00
Ruonan Wang
28c315a5b9
LLM: fix deepspeed error of finetuning on xpu ( #10484 )
2024-03-21 09:46:25 +08:00
binbin Deng
df3bcc0e65
LLM: remove english_quotes dataset ( #10370 )
2024-03-12 16:57:40 +08:00
binbin Deng
9975b029c5
LLM: add qlora finetuning example using trl.SFTTrainer ( #10183 )
2024-02-21 16:40:04 +08:00
binbin Deng
c1ec3d8921
LLM: update FAQ about too many open files ( #10119 )
2024-02-07 15:02:24 +08:00
binbin Deng
7e49fbc5dd
LLM: make finetuning examples more common for other models ( #10078 )
2024-02-04 16:03:52 +08:00
binbin Deng
aae20d728e
LLM: Add initial DPO finetuning example ( #10021 )
2024-02-01 14:18:08 +08:00
binbin Deng
171fb2d185
LLM: reorganize GPU finetuning examples ( #9952 )
2024-01-25 19:02:38 +08:00
