Text Generation
PEFT
Safetensors
lora
gemma-3
adhd
neurodivergent
task-initiation
build-small-hackathon
backyard-ai
modal
zerogpu
conversational
Instructions to use build-small-hackathon/NeuroBait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use build-small-hackathon/NeuroBait with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3-12b-it") model = PeftModel.from_pretrained(base_model, "build-small-hackathon/NeuroBait") - Notebooks
- Google Colab
- Kaggle
File size: 508 Bytes
7ad340a 62a9471 7ad340a 62a9471 7ad340a 62a9471 7ad340a 62a9471 7ad340a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"base_model": "unsloth/gemma-3-12b-it",
"train_file": "/data/train.jsonl",
"eval_file": "/data/eval.jsonl",
"out_adapter": "/out/neurobait-lora-12b",
"out_dir": "/out/outputs",
"epochs": 3.0,
"max_seq": 2048,
"seed": 42,
"n_train": 270,
"n_eval": 30,
"train_loss": 1.7501190456689573,
"eval": {
"eval_loss": 1.8844258785247803,
"eval_runtime": 20.1028,
"eval_samples_per_second": 1.492,
"eval_steps_per_second": 1.492,
"epoch": 3.0
},
"expected_steps": 102
} |