metadata
library_name: mlx
inference: false
base_model: mistralai/Devstral-Small-2-24B-Instruct-2512
extra_gated_description: >-
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our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
tags:
- mistral-common
- mlx
license: apache-2.0
pipeline_tag: text-generation
jritchie-nullable/Devstral-Small-2-24B-Instruct-2512-MLX-8bit
This model jritchie-nullable/Devstral-Small-2-24B-Instruct-2512-MLX-8bit was converted to MLX format from mistralai/Devstral-Small-2-24B-Instruct-2512 using mlx-lm version 0.28.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("jritchie-nullable/Devstral-Small-2-24B-Instruct-2512-MLX-8bit")
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)