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alpaca_lora_4bit
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Update README.md

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John Smith 2023-03-29 14:46:28 +08:00 committed by GitHub
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@ -11,7 +11,8 @@ Made some adjust for the code in peft and gptq for llama, and make it possible f
* Added Gradient Checkpointing. Now It can finetune 30b model 4bit on a single GPU with 24G VRAM with Gradient Checkpointing enabled. (finetune.py updated) (but would reduce training speed, so if having enough VRAM this option is not needed) * Added Gradient Checkpointing. Now It can finetune 30b model 4bit on a single GPU with 24G VRAM with Gradient Checkpointing enabled. (finetune.py updated) (but would reduce training speed, so if having enough VRAM this option is not needed)
* Added install manual by s4rduk4r * Added install manual by s4rduk4r
* Added pip install support by sterlind, preparing to merge changes upstream * Added pip install support by sterlind, preparing to merge changes upstream
* Add V2 model support (with groupsize, both inference + finetune) * Added V2 model support (with groupsize, both inference + finetune)
* Added some options on finetune: set default to use eos_token instead of padding, add resume_checkpoint to continue training
# Requirements # Requirements
gptq-for-llama: https://github.com/qwopqwop200/GPTQ-for-LLaMa<br> gptq-for-llama: https://github.com/qwopqwop200/GPTQ-for-LLaMa<br>