duyntnet/vicuna-7b-v1.5-16k-imatrix-gguf overview

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