--- license: other --- # Vicuna 7B without "ethics" filtering This repository contains an alternative version of the [Vicuna 7B model](https://huggingface.co/lmsys/vicuna-7b-delta-v0). This model was natively fine-tuned using ShareGPT data, but without the "ethics" filtering used for the original Vicuna. [A GPTQ quantised 4-bit version is available here](https://huggingface.co/TheBloke/vicuna-AlekseyKorshuk-7B-GPTQ-4bit-128g). # Original Vicuna Model Card ## Model details **Model type:** Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. It is an auto-regressive language model, based on the transformer architecture. **Model date:** Vicuna was trained between March 2023 and April 2023. **Organizations developing the model:** The Vicuna team with members from UC Berkeley, CMU, Stanford, and UC San Diego. **Paper or resources for more information:** https://vicuna.lmsys.org/ **License:** Apache License 2.0 **Where to send questions or comments about the model:** https://github.com/lm-sys/FastChat/issues ## Intended use **Primary intended uses:** The primary use of Vicuna is research on large language models and chatbots. **Primary intended users:** The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence. ## Training dataset 70K conversations collected from ShareGPT.com. ## Evaluation dataset A preliminary evaluation of the model quality is conducted by creating a set of 80 diverse questions and utilizing GPT-4 to judge the model outputs. See https://vicuna.lmsys.org/ for more details.