--- library_name: mlx license: apache-2.0 base_model: mistralai/Mistral-7B-Instruct-v0.3 extra_gated_description: If you want to learn more about how we process your personal data, please read our Privacy Policy. tags: - vllm - mistral-common - mlx pipeline_tag: text-generation --- # JaviSwift/mistral-7b-v0.3-mixed-4-6-bit This model [JaviSwift/mistral-7b-v0.3-mixed-4-6-bit](https://huggingface.co/JaviSwift/mistral-7b-v0.3-mixed-4-6-bit) was converted to MLX format from [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) using mlx-lm version **0.26.2**. ## Use with mlx ```bash pip install mlx-lm ``` ```python from mlx_lm import load, generate model, tokenizer = load("JaviSwift/mistral-7b-v0.3-mixed-4-6-bit") prompt = "hello" if tokenizer.chat_template is not None: messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) response = generate(model, tokenizer, prompt=prompt, verbose=True) ```