README.md

metadata

license: apache-2.0
base_model:
  - anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only
pipeline_tag: text-generation

zletpm/Mistral-Small-3.2-24B-Instruct-2506-Text-Only-MLX-4.5bit

This model zletpm/Mistral-Small-3.2-24B-Instruct-2506-Text-Only-MLX-4.5bit was converted to MLX format from anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only using mlx-lm version 0.25.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("zletpm/Mistral-Small-3.2-24B-Instruct-2506-Text-Only-MLX-4.5bit")

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)