Instructions to use brainworkup/Laguna-XS-2.1-oQ4e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use brainworkup/Laguna-XS-2.1-oQ4e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Laguna-XS-2.1-oQ4e brainworkup/Laguna-XS-2.1-oQ4e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
This quantization was uploaded on 2026-08-01 and replaces a previous version. If you downloaded this model before this date, please re-download for the updated weights.
Laguna-XS-2.1-oQ4e
This model was quantized using oQ (oMLX v0.5.4rc2) mixed-precision quantization.
Quantization details
- Model type: laguna
- Bits: 4
- Group size: 64
- Format: MLX safetensors
Quantization methods...
I quantized via oMLX on my macbook pro M3 Max 48 GB machine from the base Laguna-XS-2.1 data and it worked somehow ...
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Model size
5B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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4-bit
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Model tree for brainworkup/Laguna-XS-2.1-oQ4e
Base model
poolside/Laguna-XS-2.1