Update README.md
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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
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* 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)
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* Added install manual by s4rduk4r
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* Added pip install support by sterlind, preparing to merge changes upstream
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* Add V2 model support (with groupsize, both inference + finetune)
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* Added V2 model support (with groupsize, both inference + finetune)
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* Added some options on finetune: set default to use eos_token instead of padding, add resume_checkpoint to continue training
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# Requirements
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gptq-for-llama: https://github.com/qwopqwop200/GPTQ-for-LLaMa<br>
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