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---
base_model: ministral/Ministral-3b-instruct
language:
- en
library_name: transformers
license: apache-2.0
pipeline_tag: text-generation
tags:
- mlx
inference:
parameters:
temperature: 1
top_p: 0.95
top_k: 40
repetition_penalty: 1.2
---
# TheBlueObserver/Ministral-3b-instruct-MLX
The Model [TheBlueObserver/Ministral-3b-instruct-MLX](https://huggingface.co/TheBlueObserver/Ministral-3b-instruct-MLX) was
converted to MLX format from [ministral/Ministral-3b-instruct](https://huggingface.co/ministral/Ministral-3b-instruct)
using mlx-lm version **0.20.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("TheBlueObserver/Ministral-3b-instruct-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)
```
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