* Add axolotl v0.3.0 support on Intel GPU. * Add finetune example on llama-2-7B with Alpaca dataset.
22 lines
1.1 KiB
Markdown
22 lines
1.1 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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## 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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