Instructions to use marcinrogalski/Mixtral-8x22B-Instruct-oQ3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use marcinrogalski/Mixtral-8x22B-Instruct-oQ3 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download marcinrogalski/Mixtral-8x22B-Instruct-oQ3 --local-dir Mixtral-8x22B-Instruct-oQ3
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Mixtral-8x22B-Instruct-oQ3
This model was quantized using oQ (oMLX v0.3.12) mixed-precision quantization.
Quantization details
- Model type: mixtral
- Bits: 3
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 69
Model size
141B params
Tensor type
U32
ยท
BF16 ยท
Hardware compatibility
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3-bit
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