### 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.
```
{}
transformers pytorch llama text-generation autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

### 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 

   

tree -s vicuna-7b   

  

tree -s vicuna-7b-delta-v0  

   

Although the file size with same prefix is equal, but the content is different. And the md5sum result is   

  

The converted model has been tested using vicuna cli and got correct response. So enjoy it~  


### 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 

   

tree -s vicuna-7b   

  

tree -s vicuna-7b-delta-v0  

   

Although the file size with same prefix is equal, but the content is different. And the md5sum result is   

  

The converted model has been tested using vicuna cli and got correct response. So enjoy it~
TAGS
#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### 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 

   

tree -s vicuna-7b   

  

tree -s vicuna-7b-delta-v0  

   

Although the file size with same prefix is equal, but the content is different. And the md5sum result is   

  

The converted model has been tested using vicuna cli and got correct response. So enjoy it~
TAGS
#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### 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 

   

tree -s vicuna-7b   

  

tree -s vicuna-7b-delta-v0  

   

Although the file size with same prefix is equal, but the content is different. And the md5sum result is   

  

The converted model has been tested using vicuna cli and got correct response. So enjoy it~