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Vocab Size 8k

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

Vocab Size 8k has 7 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.

7 facts·6 predicates·1 sources·1 in dispute

Mostly:less than(2), numeric value(1), compared under context(1)

Maturity scale raw canonical shape-checked rule-derived certified

Less Thanin disputelessThan

Numeric ValuenumericValue

  • 8000[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5

Compared Under ContextcomparedUnderContext

Referenced in ObservationreferencedInObservation

Rdfs:labelrdfs:label

  • 8K[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5

Rdf:typerdf:type

Inbound mentions (6)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

atVocabSizeAt Vocab Size(2)

greaterThanGreater Than(1)

mentionsMentions(1)

mentionsVocabSizeMentions Vocab Size(1)

usedVocabSizeUsed Vocab Size(1)

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.

comparedUnderContextdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:training-context-same
lessThandocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:vocab-size-100k
lessThandocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:vocab-size-46k
numericValuedocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
8000
labeldocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
8K
typedocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:vocabulary-size
referencedInObservationdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:model-output-observation-8k

References (1)

1 references
  1. 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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