Instructions to use OpenMinded-Labs/AileyTempest-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenMinded-Labs/AileyTempest-14B with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir AileyTempest-14B OpenMinded-Labs/AileyTempest-14B
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 923 Bytes
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library_name: vllm
language:
- en
- fr
- es
- de
- it
- pt
- nl
- zh
- ja
- ko
- ar
license: apache-2.0
inference: false
base_model:
- mistralai/Ministral-3-14B-Base-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
---
# mlx-community/Ministral-3-14B-Reasoning-2512-5bit
This model was converted to MLX format from [`mistralai/Ministral-3-14B-Reasoning-2512`]() using mlx-vlm version **0.3.9**.
Refer to the [original model card](https://huggingface.co/mistralai/Ministral-3-14B-Reasoning-2512) for more details on the model.
## Use with mlx
```bash
pip install -U mlx-vlm
```
```bash
python -m mlx_vlm.generate --model mlx-community/Ministral-3-14B-Reasoning-2512-5bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```
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