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claude-botandClaude Opus 5 7658cf8bb6
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docs(paperless-eval): precision is nearly free on this MoE, and my formula was wrong
Measured, same model, same documents, only the quantisation differs:

    Qwen3.6-35B-A3B Q4_K_M   ~21 GB   11.0 tok/s
    Qwen3.6-35B-A3B Q8_0     ~34 GB   10.3 tok/s

I predicted ~6 tok/s for Q8 — a halving, on the reasoning that doubling bytes
per active parameter doubles what crosses the memory bus. It cost ten percent.

So decode is not bandwidth-bound for this MoE at all. It is compute-bound on
many small per-expert matmuls, which retroactively explains a measurement I
recorded but never followed through: the MoE reached 21.4 GB/s against a
53.9 GB/s ceiling. It was already leaving 60% of the bus idle, so more bytes
cost almost nothing.

That formula has been steering decisions in this file — it is what ranked
candidates by size and what I used to predict runtimes. It predicts dense
models and not this one.

Practical consequence: higher precision is nearly free on an MoE here.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-04 12:19:58 +02:00
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