Instructions to use Ex0bit/jit-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Ex0bit/jit-lora with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir jit-lora Ex0bit/jit-lora
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 356 Bytes
cc9f975 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"framework": "mlx",
"model_type": "jit-lora",
"lora_config": {
"rank": 32,
"alpha": 32.0,
"targets": [
"q_proj",
"v_proj",
"out_proj",
"down_proj"
],
"dropout": 0.0
},
"training": {
"backend": "mlx",
"learning_rate": 0.0005,
"max_seq_len": 512,
"batch_size": 0,
"epochs": 15
}
} |