Instructions to use TiGa-RCE/LFM2-1.2B-MLX-oQ-Sweep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TiGa-RCE/LFM2-1.2B-MLX-oQ-Sweep with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir LFM2-1.2B-MLX-oQ-Sweep TiGa-RCE/LFM2-1.2B-MLX-oQ-Sweep
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
LFM2 1.2B MLX oQ Quantization Sweep
This repository is a public preservation archive for locally generated MLX quantizations of mlx-community/LFM2-1.2B-bf16.
Provenance
- Source conversion:
mlx-community/LFM2-1.2B-bf16 - Original model family:
LiquidAI/LFM2-1.2B - Quantization: local oMLX/oQ affine MLX safetensors, group size 64
Each subdirectory is an independently loadable MLX artifact. The directory name is the intended quantization label. Existing standalone TiGa-RCE/LFM2-1.2B-MLX-oQ4 and TiGa-RCE/LFM2-1.2B-MLX-oQ8 repositories remain as directly consumable releases; this is the complete archival sweep.
Hardware compatibility
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Quantized
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