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README.md

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