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Mistral-Small-24B-Instruct-2501-bf16-Q2-mlx
CuckmeisterFuller/Mistral-Small-24B-Instruct-2501-bf16-Q2-mlx
Mistral-Small-24B-Instruct-2501-bf16-Q2-mlx is a machine learning model from CuckmeisterFuller. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for vllm. The card lists the license as apache-2.0.
The Model CuckmeisterFuller/Mistral-Small-24B-Instruct-2501-bf16-Q2-mlx was converted to MLX format from mlx-community/Mistral-Small-24B-Instruct-2501-bf16 using mlx-lm version 0.20.5.
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23.6B
7.4 GB on disk
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.safetensors7.4 GB · 100%
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From the Hugging Face model README
CuckmeisterFuller/Mistral-Small-24B-Instruct-2501-bf16-Q2-mlx
The Model CuckmeisterFuller/Mistral-Small-24B-Instruct-2501-bf16-Q2-mlx was converted to MLX format from mlx-community/Mistral-Small-24B-Instruct-2501-bf16 using mlx-lm version 0.20.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("CuckmeisterFuller/Mistral-Small-24B-Instruct-2501-bf16-Q2-mlx")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
- Library
- vllm
- Type
- mistral
- License
- apache-2.0
- Languages
- en, fr, de, es, it, pt
- Created
- Jan 31, 2025
- Updated
- Jan 31, 2025