Instructions to use lmstudio-community/Olmo-3-32B-Think-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use lmstudio-community/Olmo-3-32B-Think-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Olmo-3-32B-Think-MLX-8bit lmstudio-community/Olmo-3-32B-Think-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- c5d96213f61239984f00c2e4a86feaa0e1c3d68853b04d633ef28896d59095c5
- Size of remote file:
- 5.33 GB
- SHA256:
- f9a12fcda036e59b447573964834f39369c25cd62ca76d1a7da8d34c8b064d69
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.