README.md

metadata

language:
  - en
  - fr
  - de
  - es
  - pt
  - it
  - ja
  - ko
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  - sr
  - sv
  - tr
  - uk
  - vi
  - hi
  - bn
license: apache-2.0
library_name: mlx
inference: false
base_model: mlx-community/Mistral-Small-3.2-24B-Instruct-2506-bf16
extra_gated_description: >-
  If you want to learn more about how we process your personal data, please read
  our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
pipeline_tag: text-generation
tags:
  - mlx

mlx-community/Mistral-Small-3.2-24B-Instruct-2506-4bit

This model mlx-community/Mistral-Small-3.2-24B-Instruct-2506-4bit was converted to MLX format from mlx-community/Mistral-Small-3.2-24B-Instruct-2506-bf16 using mlx-lm version 0.25.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Mistral-Small-3.2-24B-Instruct-2506-4bit")

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)