Instructions to use felkf/Agents-A1-oQ8-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use felkf/Agents-A1-oQ8-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Agents-A1-oQ8-fp16 felkf/Agents-A1-oQ8-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 9ac21cfc807b4fdbef9f6ac998faf3c8a2bcf81b3903a3edd67306da3d53aa80
- Size of remote file:
- 5.13 GB
- SHA256:
- d43a8caecec524c9a267bbb65989d23421aae73fd4949958f4dead6ec7024e01
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.