Record: Backoff N-gram Cache + LeakyReLU(0.9)² (val_bpb=0.6678)#806
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ibarrajo wants to merge 1 commit intoopenai:mainfrom
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Record: Backoff N-gram Cache + LeakyReLU(0.9)² (val_bpb=0.6678)#806ibarrajo wants to merge 1 commit intoopenai:mainfrom
ibarrajo wants to merge 1 commit intoopenai:mainfrom
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Multi-order backoff n-gram eval cache (orders 2-7) with entropy-adaptive alpha mixing and distributed cache pre-fill for multi-GPU coherence. Neural base 1.1371 BPB, n-gram cache drops to 0.6678. 8xH100 SXM, 7189 steps in 600s. Single seed (1337), additional seeds pending. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
10 tasks
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Clean implementation — the distributed cache pre-fill solving the multi-GPU table fragmentation problem is a useful contribution, and the 8.6 MB artifact size gives you a lot of headroom. Heads up: this currently has 1 seed. The leaderboard requires 3-seed validation with statistical significance for record claims. Just flagging so it's on your radar before review. Disclosure: I use Claude Code CLI, Codex CLI, and Gemini Pro as tools in my workflow. Human first, AI-assisted. |
Author
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Closing: n-gram cache BPB scores are invalid due to normalization bug (only scores correct token without full-vocabulary normalization). N-gram caches were ruled illegal on March 27. |
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Summary
Key implementation details
inference_mode()BEFORE cache update0.05 + 0.55 * sigmoid(2*(H-4))— no oracle/hindsight selectionResults
Test plan
🤖 Generated with Claude Code