Instructions to use SinhalaMMLU-SharedTask/team-zeroShot-gemma4-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SinhalaMMLU-SharedTask/team-zeroShot-gemma4-lora with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download meta.json from SinhalaMMLU-SharedTask/team-zeroShot-gemma4-lora: direct link, hf CLI and curl.
- Browser
- Download file 413 Bytes
-
https://huggingface.co/SinhalaMMLU-SharedTask/team-zeroShot-gemma4-lora/resolve/main/meta.json
- Command line
-
hf download hf://SinhalaMMLU-SharedTask/team-zeroShot-gemma4-lora/meta.json
-
curl -L -o meta.json https://huggingface.co/SinhalaMMLU-SharedTask/team-zeroShot-gemma4-lora/resolve/main/meta.json
413 Bytes
| { | |
| "exp_id": "v8_final-20261028-182325", | |
| "step": 876, | |
| "model_name": "Lalaa-a/gemma4-8b-text-only", | |
| "num_layers": 24, | |
| "dtype": "bfloat16", | |
| "attn_implementation": "sdpa", | |
| "head_config": { | |
| "new_dim": 512, | |
| "num_layers": 2 | |
| }, | |
| "max_state_tokens": 512, | |
| "max_choice_tokens": 64, | |
| "max_question_tokens": 512, | |
| "choice_readout": "marker", | |
| "offload_embeddings": true, | |
| "lora_modules": "all" | |
| } |