Instructions to use kacperbb/phi-3.5-mlx-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kacperbb/phi-3.5-mlx-finetuned with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download kacperbb/phi-3.5-mlx-finetuned --local-dir phi-3.5-mlx-finetuned
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download adapter_config.json from kacperbb/phi-3.5-mlx-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 774 Bytes
-
https://huggingface.co/kacperbb/phi-3.5-mlx-finetuned/resolve/main/adapter_config.json
- Command line
-
hf download hf://kacperbb/phi-3.5-mlx-finetuned/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/kacperbb/phi-3.5-mlx-finetuned/resolve/main/adapter_config.json
774 Bytes
| { | |
| "adapter_path": "./phi35_mlx_lora", | |
| "batch_size": 4, | |
| "config": null, | |
| "data": "./data", | |
| "fine_tune_type": "lora", | |
| "grad_checkpoint": true, | |
| "iters": 300, | |
| "learning_rate": 1e-05, | |
| "lora_parameters": { | |
| "rank": 8, | |
| "dropout": 0.0, | |
| "scale": 20.0 | |
| }, | |
| "lr_schedule": null, | |
| "mask_prompt": false, | |
| "max_seq_length": 512, | |
| "model": "./models/phi-3.5-mini", | |
| "num_layers": 16, | |
| "optimizer": "adam", | |
| "optimizer_config": { | |
| "adam": {}, | |
| "adamw": {} | |
| }, | |
| "resume_adapter_file": null, | |
| "save_every": 100, | |
| "seed": 0, | |
| "steps_per_eval": 200, | |
| "steps_per_report": 10, | |
| "test": false, | |
| "test_batches": 500, | |
| "train": true, | |
| "val_batches": 25, | |
| "wandb": null | |
| } |