MLX
Safetensors
English
Chinese
qwen2
linux-kernel
qwen2.5
lora
fine-tuning
knowledge-distillation
4-bit precision
Instructions to use gaowanlong/kernel-lora-v0.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use gaowanlong/kernel-lora-v0.6 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir kernel-lora-v0.6 gaowanlong/kernel-lora-v0.6
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 02d7bc88885d9aedc86211fdfb2c067051dd00498fc2a6dcbd08ea16c777d596
- Size of remote file:
- 4.28 GB
- SHA256:
- a9289071e36233a664ebe9f59d493db0110c8c8f795e20df099e81ae569f8dab
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