4-bit quantization of the vicuna-13b-v1.1 model.
The delta was added to the original LLaMa weights using FastChat.
Quantization and inference with GPTQ-For-LLaMa (commit 58c8ab4).
Quantization args: $MODEL_DIRECTORY, c4, wbits 4, true-sequential, act-order, groupsize 128.
Inference args: $MODEL_DIRECTORY, wbits 4, groupsize 128, load $CHECKPOINT_FILE
Add arg device=0 if using GPU for inference. You may have to change min_length and max_length for better inference outputs.
The separator has been changed to </s>. Simple prompt is "Human: $REQUEST</s>Assistant:".
Delta: https://huggingface.co/lmsys/vicuna-13b-delta-v1.1
FastChat: https://github.com/lm-sys/FastChat
GTPQ-for-LLaMa: https://github.com/qwopqwop200/GPTQ-for-LLaMa
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