|
--- |
|
inference: false |
|
pipeline_tag: conversational |
|
--- |
|
|
|
**NOTE: New version available** |
|
Please check out a newer version of the weights [here](https://huggingface.co/lmsys/vicuna-13b-v1.3). |
|
If you still want to use this old version, please see the compatibility and difference between different versions [here](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md). |
|
|
|
**NOTE: This "delta model" cannot be used directly.** |
|
Users have to apply it on top of the original LLaMA weights to get actual Vicuna weights. See [instructions](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md#how-to-apply-delta-weights-for-weights-v11-and-v0). |
|
|
|
<br> |
|
<br> |
|
|
|
# Vicuna Model Card |
|
|
|
## Model details |
|
|
|
**Model type:** |
|
Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. |
|
It is an auto-regressive language model, based on the transformer architecture. |
|
|
|
**Model date:** |
|
Vicuna was trained between March 2023 and April 2023. |
|
|
|
**Organizations developing the model:** |
|
The Vicuna team with members from UC Berkeley, CMU, Stanford, and UC San Diego. |
|
|
|
**Paper or resources for more information:** |
|
https://lmsys.org/blog/2023-03-30-vicuna/ |
|
|
|
**Where to send questions or comments about the model:** |
|
https://github.com/lm-sys/FastChat/issues |
|
|
|
|
|
## Intended use |
|
**Primary intended uses:** |
|
The primary use of Vicuna is research on large language models and chatbots. |
|
|
|
**Primary intended users:** |
|
The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence. |
|
|
|
## Training dataset |
|
70K conversations collected from ShareGPT.com. |
|
|
|
## Evaluation dataset |
|
A preliminary evaluation of the model quality is conducted by creating a set of 80 diverse questions and utilizing GPT-4 to judge the model outputs. |
|
See https://lmsys.org/blog/2023-03-30-vicuna/ for more details. |
