Model: mlx-community/Devstral-Small-2505-bf16 Source: Original Platform
language, license, library_name, inference, base_model, extra_gated_description, pipeline_tag, tags
| language | license | library_name | inference | base_model | extra_gated_description | pipeline_tag | tags | |||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
apache-2.0 | mlx | false | mistralai/Devstral-Small-2505 | 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>. | text-generation |
|
mlx-community/Devstral-Small-2505-bf16
This model mlx-community/Devstral-Small-2505-bf16 was converted to MLX format from mistralai/Devstral-Small-2505 using mlx-lm version 0.24.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Devstral-Small-2505-bf16")
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)
Description