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vicuna-7b
The repo contains the converted vicuna-7b model files.
The base model is from decapoda-research/llama-7b-hf
and the delta model is from lmsys/vicuna-7b-delta-v0
.
The conversion script is
python3 -m fastchat.model.apply_delta \
--base decapoda-research/llama-7b-hf \
--target /output/path/to/vicuna-7b \
--delta lmsys/vicuna-7b-delta-v0
tree -s vicuna-7b
vicuna-7b
βββ [ 9976642750] pytorch_model-00001-of-00002.bin
βββ [ 3500323731] pytorch_model-00002-of-00002.bin
βββ [ 499723] tokenizer.model
tree -s vicuna-7b-delta-v0
vicuna-7b-delta-v0/
βββ [ 9976642750] pytorch_model-00001-of-00002.bin
βββ [ 3500323731] pytorch_model-00002-of-00002.bin
βββ [ 26788] pytorch_model.bin.index.json
βββ [ 499723] tokenizer.model
Although the file size with same prefix is equal, but the content is different. And the md5sum result is
5e63e46f2547e75c209c79aebe21f5ca vicuna-7b/pytorch_model-00001-of-00002.bin
53a0d7b5e34c432401f1979b454272ee vicuna-7b/pytorch_model-00002-of-00002.bin
7ded4bec6556250247b1efbb3b7e77e8 vicuna-7b-delta-v0/pytorch_model-00001-of-00002.bin
ee48ac060a0f352ba8fa3dea0385e4c3 vicuna-7b-delta-v0/pytorch_model-00002-of-00002.bin
The converted model has been tested using vicuna cli and got correct response. So enjoy it~
Q: hi how are you
A: I'm just a computer program, so I don't have feelings or emotions like a human. I'm here to respond to your questions and provide information to the best of my ability. Is there anything else you'd like to know?
Q: really cool
A: Thank you! I'm glad you think so. Is there anything in particular you'd like to know or discuss? I'm here to help so feel free to ask me anything.
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