README.md

metadata

language:
  - en
  - fr
  - de
  - es
  - it
  - pt
  - zh
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license: apache-2.0
library_name: vllm
inference: false
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>.
tags:
  - transformers
  - mlx
base_model: mistralai/Mistral-Small-24B-Base-2501

moot20/Mistral-Small-24B-Base-2501-MLX-6bits

The Model moot20/Mistral-Small-24B-Base-2501-MLX-6bits was converted to MLX format from mistralai/Mistral-Small-24B-Base-2501 using mlx-lm version 0.21.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("moot20/Mistral-Small-24B-Base-2501-MLX-6bits")

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)