Instructions to use gcoli/Mistral-Nemo-Instruct-2407-oQ4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use gcoli/Mistral-Nemo-Instruct-2407-oQ4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download gcoli/Mistral-Nemo-Instruct-2407-oQ4 --local-dir Mistral-Nemo-Instruct-2407-oQ4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
This quantization was uploaded on 2026-08-13 and replaces a previous version. If you downloaded this model before this date, please re-download for the updated weights.
Mistral-Nemo-Instruct-2407-oQ4
This model was quantized using oQ (oMLX v0.5.7) mixed-precision quantization.
Quantization details
- Model type: mistral
- Bits: 4
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 38
Model size
24B params
Tensor type
U32
ยท
BF16 ยท
Hardware compatibility
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4-bit
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