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--- |
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license: other |
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language: |
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- en |
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pipeline_tag: text-generation |
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inference: false |
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tags: |
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- transformers |
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- gguf |
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- imatrix |
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- vicuna-7b-v1.5-16k |
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--- |
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Quantizations of https://huggingface.co/lmsys/vicuna-7b-v1.5-16k |
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### Inference Clients/UIs |
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* [llama.cpp](https://github.com/ggerganov/llama.cpp) |
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* [KoboldCPP](https://github.com/LostRuins/koboldcpp) |
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* [ollama](https://github.com/ollama/ollama) |
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* [text-generation-webui](https://github.com/oobabooga/text-generation-webui) |
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* [GPT4All](https://github.com/nomic-ai/gpt4all) |
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* [jan](https://github.com/janhq/jan) |
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--- |
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# From original readme |
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Vicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT. |
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- **Developed by:** [LMSYS](https://lmsys.org/) |
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- **Model type:** An auto-regressive language model based on the transformer architecture |
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- **License:** Llama 2 Community License Agreement |
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- **Finetuned from model:** [Llama 2](https://arxiv.org/abs/2307.09288) |
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### Model Sources |
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- **Repository:** https://github.com/lm-sys/FastChat |
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- **Blog:** https://lmsys.org/blog/2023-03-30-vicuna/ |
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- **Paper:** https://arxiv.org/abs/2306.05685 |
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- **Demo:** https://chat.lmsys.org/ |
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## Uses |
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The primary use of Vicuna is research on large language models and chatbots. |
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The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence. |
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## How to Get Started with the Model |
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- Command line interface: https://github.com/lm-sys/FastChat#vicuna-weights |
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- APIs (OpenAI API, Huggingface API): https://github.com/lm-sys/FastChat/tree/main#api |
