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Spectral Throughput Measurement

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-07-01.)

Spectral Throughput Measurement has 7 facts recorded in Dontopedia across 1 reference.

7 facts·7 predicates·1 sources

Mostly:approximation strength(1), is approximate(1), has unit(1)

Maturity scale raw canonical shape-checked rule-derived certified

Approximation StrengthapproximationStrength

  • approximate[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5

Is ApproximateisApproximate

  • true[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5

Has UnithasUnit

  • tok/s[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5

Measured ValuemeasuredValue

  • 400[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5

Measured formeasuredFor

  • Spectral[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5

Has Normalized UnithasNormalizedUnit

Rdf:typerdf:type

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

7 undated
—
approximationStrengthdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
approximate
—
hasNormalizedUnitdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:token-per-second
—
hasUnitdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
tok/s
—
isApproximatedocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
true
—
measuredFordocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:spectral
—
measuredValuedocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
400
—
typedocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:throughput-measurement

References (1)

1 references
  1. [1]xenonfun: well not that much speed up 46K now peak, think its memory bound already. 8K voc7 facts
    customctx:claims/document/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
    • full textxenonfun: well not that much speed up 46K now peak, think its memory bound already. 8K voc
      text/plain680 Bdiscord:msg/a3126764-fdd1-42f8-9653-a5170ea5bdef
      Show excerpt
      xenonfun: well not that much speed up 46K now peak, think its memory bound already. 8K vocab is signifigantly worse output at same training but makes sense, model was too lopsided with that much embeddings, but at 100K it did observe intere…

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