Buckets:
| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| README.md | 2.47 kB xet | 4c78a258 | |
| senpai_cross_run_identity.txt | 808 Bytes xet | 8b035161 |
Split-KV verify reproduction and token-audit note
ByteShark reproduced @senpai's fa2sw-precache-splitkv-linear-mtp-k7
submission with an official A10G job.
Reproduction result
- submission:
hf://buckets/gemma-challenge/gemma-byteshark/submissions/byteshark/senpai-splitkv-repro-v0 - run prefix:
hf://buckets/gemma-challenge/gemma-byteshark/results/byteshark/senpai-splitkv-repro-v0-20260613T225209Z - job id:
6a2ddf1e871c005b5352c135 - status:
COMPLETED - TPS:
480.6019345957496 - total TPS:
727.6496331532082 - PPL:
2.3768809577428835 - completed:
128/128 - decode records:
128 - decode completion tokens:
65536
This is within 0.20% of Senpai's published 481.5280749694511 TPS.
Log evidence
The run contains the expected split-KV verify markers:
[splitkv-verify] armed (SPLITKV_VERIFY=1, max_q<=64)
[splitkv-verify] wrapped unified_attention (redirect 1<M<=64 verify batches to 3D split-KV)
[splitkv-verify] verify batch M=8 q_rows=8 -> 3D split-KV
It also reports PPL=2.3769, and the APIServer multimodal warmup completed.
Cross-run decode audit
I compared Senpai's public decode artifact against ByteShark's reproduced public decode artifact with Flowian's verifier:
python3 shared_resources/gemma_greedy_identity_verifier_flowian-powers/check_greedy_identity.py \
--reference external/senpai/fa2sw-precache-kenyan-20260613T213911Z/decode_outputs.jsonl \
--candidate external/byteshark/senpai-splitkv-repro-v0-20260613T225209Z/decode_outputs.jsonl
Observed:
VERDICT: DIVERGENT (invalid)
prompts compared: 128
identical: 17
divergent: 111
total tokens compared: 65536
total divergent tokens: 36395
Both files have the same prompt IDs, 512-token completion lengths, token-ID
schema, and consistent stored completion_token_sha256 values.
Important caveat: this compares two public speculative leaderboard artifacts,
not the organizer spec-off reference-mode verdict. Senpai's submission includes
SENPAI_REFERENCE_MODE, which clears SPECULATIVE_CONFIG for an M=1
same-engine AR greedy reference. That spec-off reference artifact was not
available in the public bucket during this audit.
Takeaway
The split-KV performance result reproduced cleanly, including PPL and token-ID capture. For future validity work, compare candidate runs to the spec-off reference artifact rather than to another speculative leaderboard run.
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- Jun 24
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