23 lines
1.2 KiB
Markdown
23 lines
1.2 KiB
Markdown
# BuddhaGPT
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Fine-tune + RAG experiment: a small local model trained and grounded on the Pali Canon (via
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[SuttaCentral](https://suttacentral.net)'s Bilara texts).
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## Data generation
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Synthetic instruction pairs (`data/instructions.jsonl`) are generated from `corpus/suttas.jsonl`
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via `scripts/gen_data.py`, using OpenRouter model `~deepseek/deepseek-v4-flash-latest` (the
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tilde prefix is part of OpenRouter's real catalog ID for this "latest" alias — verified against
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the live `/api/v1/models` catalog, not a typo).
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Token usage / cost:
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- Original full run (`--mode full`, 3,200 calls, variants 0–1 only): totals were not persisted
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and the generating process died before a report was written, so these figures are an
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**estimate**, not measured: ~5.2M input / 1.8M output tokens, ≈$0.4–0.7 at list pricing
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(~$0.08/M in, $0.16/M out).
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- Template top-up run (`--mode topup`, 2,300 calls, variants 2–5, 0 failures): **measured** —
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1,994,673 input tokens / 1,618,867 output tokens, **$0.42** at list pricing (~$0.08/M in,
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$0.16/M out). See `.superpowers/sdd/2026-08-14-buddha-gpt/task-5-report.md` for the full
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fix-round report, including per-template pair counts.
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