Delta Ultra Mini is a compact decoder-only language model created by Flame Corporation. It is intended as an educational small LLM release for studying tokenizer training, causal language modeling, checkpoints, and local generation.
The seed dataset is small and conversational. It is designed to validate the training pipeline, not to produce a high-quality assistant on its own. Users are encouraged to create larger, cleaner datasets and train new checkpoints.
Delta Ultra Mini can hallucinate, mix examples from the seed dataset, and answer incorrectly. The included checkpoint should be treated as an experimental baseline.
1pip install -r requirements.txt
2python scripts/generate_delta.py --prompt "Quem e voce?" --checkpoint_path delta_checkpoint.pt --tokenizer_path tokenizer.json
If you publish work using this model, cite the repository or model page where you downloaded it.
