Edit model card

longchat-7b-16k Model Card

Please use load_model from FastChat or LongChat repo to load the model (or chatting API from FastChat). There is a monkey patch needed to use the model. Usage referece:

(LongChat) python3 eval.py --model-name-or-path lmsys/longchat-7b-16k --task topics

(FastChat) python3 -m fastchat.serve.cli --model-path lmsys/longchat-7b-16k

Under the hood, the monkey patch is added in:

https://github.com/lm-sys/FastChat/blob/da0641e567cf93756b0978ab5a6b092e96f06240/fastchat/model/model_adapter.py#L429

Model details

Model type: longchat-7b-16k is an open-source chatbot trained by fine-tuning llama-7b on user-shared conversations collected from ShareGPT, using the condensing rotary embedding technique reported in the blog.

Model date: longchat-7b-16k was trained on June 2023.

Organizations developing the model: The LongChat developers: Dacheng Li*, Rulin Shao*, Anze Xie, Ying Sheng, Lianmin Zheng, Ion Stoica, Xuezhe Ma, and Hao Zhang

Paper or resources for more information: https://github.com/DachengLi1/LongChat

Where to send questions or comments about the model: https://github.com/DachengLi1/LongChat

Intended use

Primary intended uses: The primary use of longchat-7b-16k is for research purposes.

Primary intended users: The primary intended users of the model are researchers in natural language processing, machine learning, and artificial intelligence.

Training dataset

80K conversations collected from ShareGPT.com.

Evaluation dataset

A preliminary evaluation of the model quality is conducted by our released LongEval.

Downloads last month
275
Inference Examples
Inference API (serverless) has been turned off for this model.

Spaces using lmsys/longchat-7b-16k 23