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| Params | 1.5B |
| Architecture | GPT-style, 26 layers, 1536 embd, 12 heads |
| Context | 2048 tokens |
| Vocab | 32,768 (tiktoken-style BPE) |
| Pretraining | ~2B tokens of SmolLM corpus, 1,500 iters |
| Instruction tune | 465 iters, chat format (`< |
| Window pattern | "L" (attention sink + local window) |
checkpoints/base/…, checkpoints/sft/…) — the raw .pt files are still here for reproducibility. The training pipeline is open source: github.com/olii-dev/nano-gpt.| Prompt | Result |
|---|---|
| "Who are you?" | "I'm Lattice Quark, a small language model built by Lattice Systems." ✓ |
| "3 apples, take 2 away" | "you have 1 apple" ✓ |
| "Explain gravity" | coherent multi-paragraph explanation ✓ |
| "Fibonacci in Python" | clean implementation with error handling ✓ |
| "17 × 23" | ✗ arithmetic loop (typical at this scale) |
1git clone https://github.com/olii-dev/nano-gpt
2uv sync --extra gpu
3python -m scripts.chat_cli -i sft -g quark-1.5b -s 465