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---
library_name: mlx
language:
- en
- fr
- es
- de
- it
- pt
- nl
- zh
- ja
- ko
- ar
license: apache-2.0
inference: false
base_model: mistralai/Ministral-3-8B-Instruct-2512
extra_gated_description: 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>.
tags:
- mistral-common
- mlx
pipeline_tag: text-generation
---
# alexgusevski/Ministral-3-8B-Instruct-2512-mlx
This model [alexgusevski/Ministral-3-8B-Instruct-2512-mlx](https://huggingface.co/alexgusevski/Ministral-3-8B-Instruct-2512-mlx) was
converted to MLX format from [mistralai/Ministral-3-8B-Instruct-2512](https://huggingface.co/mistralai/Ministral-3-8B-Instruct-2512)
using mlx-lm version **0.28.4**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("alexgusevski/Ministral-3-8B-Instruct-2512-mlx")
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)
```
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