Instructions to use AlexWortega/lfm2-physics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AlexWortega/lfm2-physics with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download stage3/metadata.json from AlexWortega/lfm2-physics: direct link, hf CLI and curl.
- Browser
- Download file 838 Bytes
-
https://huggingface.co/AlexWortega/lfm2-physics/resolve/main/stage3/metadata.json
- Command line
-
hf download hf://AlexWortega/lfm2-physics/stage3/metadata.json
-
curl -L -o metadata.json https://huggingface.co/AlexWortega/lfm2-physics/resolve/main/stage3/metadata.json
838 Bytes
| { | |
| "stage": 3, | |
| "timestamp": "2026-02-04T14:24:05.704295", | |
| "config": { | |
| "data_dir": "data/train", | |
| "output_dir": "checkpoints/lfm2-physics", | |
| "epochs_per_stage": 1, | |
| "batch_size": 2, | |
| "grad_accum": 8, | |
| "lr": 0.0002, | |
| "max_seq_length": 4096, | |
| "curriculum_stages": 5, | |
| "max_examples_per_stage": 1000, | |
| "max_context_frames": 5, | |
| "physics_loss_weight": 0.01, | |
| "resume": null, | |
| "wandb_project": "physics-llm", | |
| "wandb_offline": false, | |
| "lora_r": 32, | |
| "lora_alpha": 64, | |
| "model": "LiquidAI/LFM2-350M", | |
| "timestamp": "2026-02-04T14:11:22.835795" | |
| }, | |
| "metrics": { | |
| "train_runtime": 148.7076, | |
| "train_samples_per_second": 6.725, | |
| "train_steps_per_second": 0.424, | |
| "total_flos": 7086689746944000.0, | |
| "train_loss": 1.0771233959803506, | |
| "epoch": 1.0, | |
| "step": 63 | |
| } | |
| } |