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.
Mostly:less than(2), numeric value(1), compared under context(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedLess Thanin disputelessThan
- Vocab Size 100k[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5
- Vocab Size 46k[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5
Numeric ValuenumericValue
- 8000[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5
Compared Under ContextcomparedUnderContext
- Training Context Same[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5
Referenced in ObservationreferencedInObservation
- Model Output Observation 8k[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5
Rdfs:labelrdfs:label
- 8K[1]sourceall time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5
Rdf:typerdf:type
- Vocabulary Size[1]all time · 019a8f6a D43b 40ba Afc1 247f4b73c3a5
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)
- Model Lopsidedness Assertion
ex:model-lopsidedness-assertion - Model Output Observation 8k
ex:model-output-observation-8k
greaterThanGreater Than(1)
- Vocab Size 46k
ex:vocab-size-46k
mentionsMentions(1)
- Source Utterance
ex:source-utterance
mentionsVocabSizeMentions Vocab Size(1)
- Model
ex:model
usedVocabSizeUsed Vocab Size(1)
- Model Output Observation 8k
ex:model-output-observation-8k
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.
References (1)
- [1]xenonfun: well not that much speed up 46K now peak, think its memory bound already. 8K voc7 factscustom
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 voctext/plain680 B
discord:msg/a3126764-fdd1-42f8-9653-a5170ea5bdefShow 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…
See also
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