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Config D32 D768

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)

Config D32 D768 has 8 facts recorded in Dontopedia across 2 references.

8 facts·7 predicates·2 sources

Mostly:has depth(2), has dmodel(1), has params(1)

Maturity scale raw canonical shape-checked rule-derived certified

Has DepthhasDepth

  • 32[1]all time · Part 357
  • 32[2]sourceall time · 355

Has DmodelhasDmodel

  • 768[1]all time · Part 357

Has ParamshasParams

  • 2.1M[1]all time · Part 357

Has Parameter CounthasParameterCount

  • 2100000[2]sourceall time · 355

Has WidthhasWidth

  • 768[2]sourceall time · 355

Rdf:typerdf:type

Rdfs:labelrdfs:label

  • D=32 d=768[2]all time · 355

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.

hasFewerParamsThanHas Fewer Params Than(2)

hasSimilarSpeedToHas Similar Speed to(2)

matchesPerformanceOfMatches Performance of(2)

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.

hasDepthblah/watt-activation/part-357
32
hasDepthblah/watt-activation/355
32
hasDmodelblah/watt-activation/part-357
768
hasParameterCountblah/watt-activation/355
2100000
hasParamsblah/watt-activation/part-357
2.1M
hasWidthblah/watt-activation/355
768
labelblah/watt-activation/355
D=32 d=768
typeblah/watt-activation/355
ex:ModelConfiguration

References (2)

2 references
  1. [1]Part 3573 facts
    customctx:discord/blah/watt-activation/part-357
  2. customctx:discord/blah/watt-activation/355
    • full textwatt-activation-355
      text/plain3 KBdoc:agent/watt-activation-355/e62c81a8-1082-4c07-b675-3759a8600d0e
      Show excerpt
      [2026-03-17 15:27] xenonfun: ``` Key findings: 1. Depth scaling is smooth and strong: BPB drops monotonically 3.00→2.53 from D=6→D=32. DC@16 rises 72%→91%. 2. Retrieval reach = 128 for ALL configs — every model retrieves across the f

See also

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