Instructions to use brainworkup/LFM2.5-8B-A1B-oQ8e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use brainworkup/LFM2.5-8B-A1B-oQ8e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir LFM2.5-8B-A1B-oQ8e brainworkup/LFM2.5-8B-A1B-oQ8e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
LFM2.5-8B-A1B-oQ8e
This model was quantized using oQ (oMLX v0.5.4rc1) mixed-precision quantization.
Quantization details
- Model type: lfm2_moe
- Bits: 8
- Group size: 64
- Format: MLX safetensors
Notes
very fast on M3 Max 48 GB
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- 78
Model size
2B params
Tensor type
BF16
路
U32 路
F32 路
Hardware compatibility
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8-bit
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