metadata
base_model: Ministral-8B-Instruct-2410-HF
language:
- en
- fr
- de
- es
- it
- pt
- zh
- ja
- ru
- ko
library_name: vllm
license: other
license_name: mrl
license_link: https://mistral.ai/licenses/MRL-0.1.md
tags:
- mlx
inference: false
extra_gated_prompt: >-
# Mistral AI Research License
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extra_gated_description: >-
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mlx-community/Ministral-8B-Instruct-2410-4bit
The Model mlx-community/Ministral-8B-Instruct-2410-4bit was converted to MLX format from mistralai/Ministral-8B-Instruct-2410 using mlx-lm version 0.19.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Ministral-8B-Instruct-2410-4bit")
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)