thekevinscott/geocities-prompt-html
GeoCities prompt → HTML — fine-tune Fine-tunes Gemma-4-E2B-it (LoRA) to generate a full, vintage-style HTML page from a plain-language description. This repo holds the dataset and the training scripts so the whole thing runs from one place. What's in here dataset.jsonl — the training data: one {"prompt": ..., "html": ...} per line. train_geocities.py — training entrypoint (loads this JSONL format). train-geocities-5090.sh — launch tuned for a 32 GB card (bf16… See the full description on the dataset page: https://huggingface.co/datasets/thekevinscott/geocities-prompt-html.
Update train-geocities.sh
Remove old combined train.py (split into train_geocities/train_jokes)
Upload train-geocities-5090.sh with huggingface_hub
Upload train_jokes.py with huggingface_hub
Upload train_geocities.py with huggingface_hub
Upload README.md with huggingface_hub
Upload README.md with huggingface_hub
Upload uv.lock with huggingface_hub
Upload pyproject.toml with huggingface_hub
Upload merge_lora.py with huggingface_hub
Upload train-geocities-5090.sh with huggingface_hub
Upload train.py with huggingface_hub
Upload README.md with huggingface_hub
Upload dataset.jsonl with huggingface_hub
initial commit
