exp100: only-correct constrained decoding to regenerate contacts-v1 train docs#101

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claude/great-chatterjee-211197

Jul 15, 2026

Commits on Jul 1, 2026

exp100: only-correct constrained decoding to regenerate contacts-v1 train docs

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exp100: fold unmodified-NLL capture into the constraint; add HF-GPU worker

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exp100: full 1000-target GPU validation (10k docs, all 100%-correct)

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exp100: vLLM structured-output backend for only-correct decoding (GPU-proven, TPU-portable)

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exp100: vllm worker: force in-process engine + stage gs:// model (iris-ready)

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exp100: version-robust backend registration (vLLM 0.20 + 0.11)

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exp100: document proven iris/TPU launch recipe (vLLM 0.20, in-process register)

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exp100: robust vLLM run — serial bitmask-fill (max_num_seqs<128) + select among correct

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exp100: history-authoritative, tolerant grammar (never terminate on desync)

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exp100: full 1000-target run on iris TPU (1000/1000 correct, ~1 v5p-8-hour)

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exp100: full round-0 selector (all ~940k proteins, GT parsed from docs) + context-capped max_tokens

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exp100: gen_prompts retry robustness for large GCS jobs (900k files)

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exp100: worker resume via one-shot dir listing (scales to ~117k-entry shards)

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exp100: make all_documents opt-in (--save-all-documents) for the 941k-scale run

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exp100: gen_prompts resume via one-shot listing (drop ~1M per-target exists calls)

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exp100: gen_prompts reads only entry_id+sequence (skip bulky gt lists on load)

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Commits on Jul 3, 2026

exp100: skip targets whose prefix fills the context (no crash on full run)

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Commits on Jul 5, 2026

exp100: reserve 1 token headroom so the scoring pass can't overflow context

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Commits on Jul 15, 2026