| ### 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 | |
| ├── [ 9976642750] pytorch_model-00001-of-00002.bin | |
| ├── [ 3500323731] pytorch_model-00002-of-00002.bin | |
| └── [ 499723] tokenizer.model | |
| ``` | |
| tree -s vicuna-7b-delta-v0 | |
| ``` | |
| vicuna-7b-delta-v0/ | |
| ├── [ 9976642750] pytorch_model-00001-of-00002.bin | |
| ├── [ 3500323731] pytorch_model-00002-of-00002.bin | |
| ├── [ 26788] pytorch_model.bin.index.json | |
| └── [ 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. | |
| ``` |