Dontopedia

well not that much speed up 46K now peak, think its memory bound already.

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

well not that much speed up 46K now peak, think its memory bound already. has 13 facts recorded in Dontopedia across 1 reference, with 2 live disagreements.

13 facts·4 predicates·1 sources·2 in dispute

Mostly:mentions(8), quoted as saying(2), rdf:type(1)

Maturity scale raw canonical shape-checked rule-derived certified

Quoted As Sayingin disputequotedAsSaying

  • The not used in the be 2001 3 -5 of a same[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5
  • the, – for well on the to[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5

Inbound mentions (8)

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.

attestedByAttested by(7)

isInSourceIs in Source(1)

Other facts (10)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

10 facts
PredicateValueRef
MentionsModel[1]
MentionsVocab Size 46k[1]
MentionsVocab Size 8k[1]
MentionsVocab Size 100k[1]
MentionsTraining Context Same[1]
MentionsSmoketests[1]
MentionsSpectral[1]
MentionsAnchor Kan[1]
Rdf:typeText Segment[1]
ContainsCode Block[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.

typedocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:text-segment
labeldocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
well not that much speed up 46K now peak, think its memory bound already.
mentionsdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:model
mentionsdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:vocab-size-46k
mentionsdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:vocab-size-8k
mentionsdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:vocab-size-100k
mentionsdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:training-context-same
mentionsdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:smoketests
mentionsdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:spectral
mentionsdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:anchor-kan
containsdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
ex:code-block
quotedAsSayingdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
The not used in the be 2001 3 -5 of a same
quotedAsSayingdocument/019a8f6a-d43b-40ba-afc1-247f4b73c3a5
the, – for well on the to

References (1)

1 references
  1. ctx: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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