07362ffffc
* ChatGLM3-6B LoRA Fine-tuning Demo * refine * refine * add 2-card deepspeed * refine format * add mpi4py and deepspeed install
43 lines
2.2 KiB
Markdown
43 lines
2.2 KiB
Markdown
# Running LLM Finetuning using IPEX-LLM on Intel GPU
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This folder contains examples of running different training mode with IPEX-LLM on Intel GPU:
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- [LoRA](LoRA): examples of running LoRA finetuning
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- [QLoRA](QLoRA): examples of running QLoRA finetuning
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- [QA-LoRA](QA-LoRA): examples of running QA-LoRA finetuning
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- [ReLora](ReLora): examples of running ReLora finetuning
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- [DPO](DPO): examples of running DPO finetuning
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- [common](common): common templates and utility classes in finetuning examples
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- [HF-PEFT](HF-PEFT): run finetuning on Intel GPU using Hugging Face PEFT code without modification
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- [axolotl](axolotl): LLM finetuning on Intel GPU using axolotl without writing code
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## Verified Models
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| Model | Finetune mode | Frameworks Support |
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|------------|-----------------------------------------------------------------|-----------------------------------------------------------------|
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| LLaMA 2/3 | [LoRA](LoRA), [QLoRA](QLoRA), [QA-LoRA](QA-LoRA), [ReLora](ReLora) | [HF-PEFT](HF-PEFT), [axolotl](axolotl) |
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| Mistral | [LoRA](DPO), [QLoRA](DPO) | [DPO](DPO) |
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| ChatGLM 3 | [LoRA](LoRA/chatglm_finetune#lora-fine-tuning-on-chatglm3-6b-with-ipex-llm), [QLoRA](QLoRA/alpaca-qlora#3-qlora-finetune) | HF-PEFT |
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| Qwen-1.5 | [QLoRA](QLoRA/alpaca-qlora#3-qlora-finetune) | HF-PEFT |
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| Baichuan2 | [QLoRA](QLoRA/alpaca-qlora#3-qlora-finetune) | HF-PEFT |
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## Troubleshooting
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- If you fail to finetune on multi cards because of following error message:
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```bash
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RuntimeError: oneCCL: comm_selector.cpp:57 create_comm_impl: EXCEPTION: ze_data was not initialized
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```
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Please try `sudo apt install level-zero-dev` to fix it.
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- Please raise the system open file limit using `ulimit -n 1048576`. Otherwise, there may exist error `Too many open files`.
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- If application raise `wandb.errors.UsageError: api_key not configured (no-tty)`. Please login wandb or disable wandb login with this command:
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```bash
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export WANDB_MODE=offline
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```
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- If application raise Hugging Face related errors, i.e., `NewConnectionError` or `Failed to download` etc. Please download models and datasets, set model and data path, then set `HF_HUB_OFFLINE` with this command:
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```bash
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export HF_HUB_OFFLINE=1
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```
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