Instructions to use dmitchelljackson/cerebellum-e4b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dmitchelljackson/cerebellum-e4b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-E4B-it") model = PeftModel.from_pretrained(base_model, "dmitchelljackson/cerebellum-e4b-lora") - Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model_name_or_path": "google/gemma-4-E4B-it", | |
| "bias": "none", | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "init_lora_weights": true, | |
| "lora_alpha": 32, | |
| "lora_dropout": 0.05, | |
| "modules_to_save": null, | |
| "peft_type": "LORA", | |
| "r": 64, | |
| "target_modules": "all-linear", | |
| "task_type": "CAUSAL_LM", | |
| "training_step": 656 | |
| } |