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---
inference: false
---

# longchat-7b-16k Model Card

## 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](https://lmsys.org/blog/2023-06-29-longchat).

**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](https://github.com/DachengLi1/LongChat).