README.md

metadata

license: apache-2.0
datasets:
  - lars1234/story_writing_benchmark
base_model: lars1234/Mistral-Small-24B-Instruct-2501-writer
library_name: mlx
tags:
  - mlx
pipeline_tag: text-generation

mlx-community/Mistral-Small-24B-Instruct-2501-writer

This model mlx-community/Mistral-Small-24B-Instruct-2501-writer was converted to MLX format from lars1234/Mistral-Small-24B-Instruct-2501-writer 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-24B-Instruct-2501-writer")

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)