README.md
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1 ---
2 inference: false
3 license: llama2
4 ---
5
6 # Vicuna Model Card
7
8 ## Model Details
9
10 Vicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.
11
12 - **Developed by:** [LMSYS](https://lmsys.org/)
13 - **Model type:** An auto-regressive language model based on the transformer architecture
14 - **License:** Llama 2 Community License Agreement
15 - **Finetuned from model:** [Llama 2](https://arxiv.org/abs/2307.09288)
16
17 ### Model Sources
18
19 - **Repository:** https://github.com/lm-sys/FastChat
20 - **Blog:** https://lmsys.org/blog/2023-03-30-vicuna/
21 - **Paper:** https://arxiv.org/abs/2306.05685
22 - **Demo:** https://chat.lmsys.org/
23
24 ## Uses
25
26 The primary use of Vicuna is research on large language models and chatbots.
27 The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.
28
29 ## How to Get Started with the Model
30
31 - Command line interface: https://github.com/lm-sys/FastChat#vicuna-weights
32 - APIs (OpenAI API, Huggingface API): https://github.com/lm-sys/FastChat/tree/main#api
33
34 ## Training Details
35
36 Vicuna v1.5 is fine-tuned from Llama 2 with supervised instruction fine-tuning.
37 The training data is around 125K conversations collected from ShareGPT.com.
38 See more details in the "Training Details of Vicuna Models" section in the appendix of this [paper](https://arxiv.org/pdf/2306.05685.pdf).
39
40 ## Evaluation
41
42 ![Evaluation Results](https://github.com/lm-sys/lm-sys.github.io/blob/main/public/images/webdata/vicuna_v1.5_eval.png?raw=true)
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44 Vicuna is evaluated with standard benchmarks, human preference, and LLM-as-a-judge. See more details in this [paper](https://arxiv.org/pdf/2306.05685.pdf) and [leaderboard](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard).
45
46 ## Difference between different versions of Vicuna
47
48 See [vicuna_weights_version.md](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md)