--- license: apache-2.0 language: - en - fr - de - es - it tags: - moe --- Converted version of [Mixtral Instruct](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) to 4-bit using bitsandbytes. For more information about the model, refer to the model's page. ## Impact on performance Impact of quantization on a set of models. Evaluation of the model was conducted using the PoLL (Pool of LLM) technique, assessing performance on **100 French questions** with scores aggregated from six evaluations (two per evaluator). The evaluators included GPT-4o, Gemini-1.5-pro, and Claude3.5-sonnet. Performance Scores (on a scale of 5): | Model | Score | # params (Billion) | size (GB) | |---------------------------------------------:|:--------:|:------------------:|:---------:| | gpt-4o | 4.13 | N/A | N/A | | mistralai/Mixtral-8x7B-Instruct-v0.1 | 3.71 | 46.7 | 93.4 | | **cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit** | **3.68** | **46.7** | **23.35** | | meta-llama/Meta-Llama-3.1-70B-Instruct | 3.68 | 70.06 | 140.12 | | gpt-3.5-turbo | 3.66 | 175 | 350 | | cmarkea/Meta-Llama-3.1-70B-Instruct-4bit | 3.64 | 70.06 | 35.3 | | TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ | 3.56 | 46.7 | 46.7 | | meta-llama/Meta-Llama-3.1-8B-Instruct | 3.25 | 8.03 | 16.06 | | mistralai/Mistral-7B-Instruct-v0.2 | 1.98 | 7.25 | 14.5 | | cmarkea/bloomz-7b1-mt-sft-chat | 1.69 | 7.07 | 14.14 | | cmarkea/bloomz-3b-dpo-chat | 1.68 | 3 | 6 | | cmarkea/bloomz-3b-sft-chat | 1.51 | 3 | 6 | | croissantllm/CroissantLLMChat-v0.1 | 1.19 | 1.3 | 2.7 | | cmarkea/bloomz-560m-sft-chat | 1.04 | 0.56 | 1.12 | | OpenLLM-France/Claire-Mistral-7B-0.1 | 0.38 | 7.25 | 14.5 | The impact of quantization is negligible. ## Prompt Pattern Here is a reminder of the command pattern to interact with the model if the add_special_tokens option is disabled (otherwise, do not include the BOS symbol and space at the beginning of the sequence): ```verbatim [INST] {user_prompt_1} [/INST] model_answer_1 [INST] {user_prompt_2} [/INST] model_answer_2 ```