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K3 Stage 2 conclusion: alignment reaches reference-level acceptance (in-domain); held-out gap is training-data scale
Full-scope alignment (all 0.43B drafter params, 10 verifier-greedy prompts, 2500 steps, ~80s): train match 0.91. Acceptance (block 16, vs Gemma-4 verifier): un-aligned (faithful port) rate 0.003 length 1.04 aligned fc/norms (8 prompts) rate 0.074 length 2.04 aligned FULL (10 prompts) in-domain rate 0.561 length 8.62 >= ref! aligned FULL (10 prompts) held-out rate 0.069 length 1.94 reference (HumanEval, vLLM) rate 0.447 length 7.70 Conclusion: the in-domain run matching/exceeding the reference (8.62 >= 7.7) PROVES the native integration is architecturally correct end-to-end (context-KV, fc fusion, non-causal block, query layout, accept loop). The held-out gap is purely TRAINING-DATA SCALE (10 prompts -> severe overfit), not a code/architecture bug. lossless_vs_ar holds (2 held-out prompts flip False only on AR length/EOS edges). Aligned weights (~860MB) live on H200. Co-authored-by: FluffyAIcode <FluffyAIcode@users.noreply.github.com>
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"kind": "k3_dflash_specdecode_acceptance",
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