* deepspeed zero3 QLoRA finetuning * Update convert.py * Update low_bit_linear.py * Update utils.py * Update qlora_finetune_llama2_13b_arch_2_card.sh * Update low_bit_linear.py * Update alpaca_qlora_finetuning.py * Update low_bit_linear.py * Update utils.py * Update convert.py * Update alpaca_qlora_finetuning.py * Update alpaca_qlora_finetuning.py * Update low_bit_linear.py * Update deepspeed_zero3.json * Update qlora_finetune_llama2_13b_arch_2_card.sh * Update low_bit_linear.py * Update low_bit_linear.py * Update utils.py * fix style * fix style * Update alpaca_qlora_finetuning.py * Update qlora_finetune_llama2_13b_arch_2_card.sh * Update convert.py * Update low_bit_linear.py * Update model.py * Update alpaca_qlora_finetuning.py * Update low_bit_linear.py * Update low_bit_linear.py * Update low_bit_linear.py  | 
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| .. | ||
| alpaca-qlora | ||
| simple-example | ||
| trl-example | ||
| README.md | ||
QLoRA Finetuning with IPEX-LLM
We provide Alpaca-QLoRA example, which ports Alpaca-LoRA to IPEX-LLM (using QLoRA algorithm) on Intel GPU.
Meanwhile, we also provide a simple example to help you get started with QLoRA Finetuning using IPEX-LLM, and TRL example to help you get started with QLoRA Finetuning using IPEX-LLM and TRL library.