Instructions to use UWV/wim-n3-phi3-mini-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use UWV/wim-n3-phi3-mini-merged with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download training_args.json from UWV/wim-n3-phi3-mini-merged: direct link, hf CLI and curl.
- Browser
- Download file 838 Bytes
-
https://huggingface.co/UWV/wim-n3-phi3-mini-merged/resolve/main/training_args.json
- Command line
-
hf download hf://UWV/wim-n3-phi3-mini-merged/training_args.json
-
curl -L -o training_args.json https://huggingface.co/UWV/wim-n3-phi3-mini-merged/resolve/main/training_args.json
838 Bytes
| { | |
| "model": "phi4-mini", | |
| "use_unsloth_model": true, | |
| "dataset": "UWV/wim-instruct-wiki-to-jsonld-agent-steps", | |
| "filter_n3_only": true, | |
| "max_samples": null, | |
| "output_dir": "./phi4_lora_r320_128k", | |
| "max_steps": 1000, | |
| "batch_size": 1, | |
| "gradient_accumulation_steps": 8, | |
| "learning_rate": 1e-05, | |
| "warmup_steps": 5, | |
| "max_seq_length": 131072, | |
| "rope_scaling": null, | |
| "lora_r": 320, | |
| "lora_alpha": 320, | |
| "lora_dropout": 0, | |
| "target_modules": [ | |
| "q_proj", | |
| "k_proj", | |
| "v_proj", | |
| "o_proj", | |
| "gate_proj", | |
| "up_proj", | |
| "down_proj" | |
| ], | |
| "load_in_4bit": false, | |
| "load_in_8bit": false, | |
| "use_gradient_checkpointing": true, | |
| "assistant_only_loss": true, | |
| "num_workers": null, | |
| "no_eval": false, | |
| "full_finetune": false, | |
| "wandb": false, | |
| "seed": 42, | |
| "push_to_hub": false, | |
| "hub_model_id": null | |
| } |