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] hf download TiGa-RCE/LFM2-1.2B-MLX-oQ-Sweep --local-dir LFM2-1.2B-MLX-oQ-Sweep
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download oQ2/tokenizer.json from TiGa-RCE/LFM2-1.2B-MLX-oQ-Sweep: direct link, hf CLI and curl.
- Browser
- Download file 4.73 MB
-
https://huggingface.co/TiGa-RCE/LFM2-1.2B-MLX-oQ-Sweep/resolve/main/oQ2/tokenizer.json
- Command line
-
hf download hf://TiGa-RCE/LFM2-1.2B-MLX-oQ-Sweep/oQ2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/TiGa-RCE/LFM2-1.2B-MLX-oQ-Sweep/resolve/main/oQ2/tokenizer.json
4.73 MB
File too large to display, you can check the raw version instead.