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: 641 Bytes
950e3c3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | # Codex Session Traces
This folder contains Codex rollout JSONL traces related to the
NeuroBait Build Small Model project.
Included traces:
- `rollout-2026-06-08T17-03-23-019ea6af-db29-7801-ac01-46dfc88f90b0.jsonl`
- `rollout-2026-06-09T07-10-21-019ea9b7-4610-7223-906e-2d0dba8bae7f.jsonl`
- `rollout-2026-06-09T16-00-29-019eab9c-a18a-7de1-8967-ea63db425a4f.jsonl`
The traces were selected because their session metadata contains the project
working directory:
`/media/haris-subrata/Work/llm/NeuroBait-Build-Small-Model`
The active 2026-06-11 discovery/upload session is intentionally excluded. These
files are historical traces only.
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