README.md

---
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

  If You want to use a Mistral Model, a Derivative or an Output for any purpose that
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---

# mlx-community/Ministral-8B-Instruct-2410-4bit

The Model [mlx-community/Ministral-8B-Instruct-2410-4bit](https://huggingface.co/mlx-community/Ministral-8B-Instruct-2410-4bit) was converted to MLX format from [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) using mlx-lm version **0.19.1**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
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)
```