Lohegpt V5
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Lohegpt V5 has 11 facts recorded in Dontopedia across 1 reference.
11 facts·11 predicates·1 sources
Mostly:member of family(1), uses attention type(1), compared to(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedMember of FamilymemberOfFamily
- Kuramoto Family[1]sourceall time · 61
Uses Attention TypeusesAttentionType
- Softmax Attention[1]sourceall time · 61
Compared tocomparedTo
- Standard Model[1]sourceall time · 61
Has Perplexity Improvement PercentagehasPerplexityImprovementPercentage
- 10%[1]sourceall time · 61
Outperformsoutperforms
- Standard Model[1]sourceall time · 61
Has Wall TimehasWallTime
- 563.9[1]sourceall time · 61
Has Parameter CounthasParameterCount
- 421160[1]sourceall time · 61
Has Perplexity RatiohasPerplexityRatio
- 0.905[1]sourceall time · 61
Has Best PerplexityhasBestPerplexity
- 5.47[1]sourceall time · 61
Has VersionhasVersion
- 5[1]sourceall time · 61
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.
—
comparedToblah/watt-activation/61
ex:standard-model
—
hasBestPerplexityblah/watt-activation/61
5.47
—
hasParameterCountblah/watt-activation/61
421160
—
hasPerplexityImprovementPercentageblah/watt-activation/61
10%
—
hasPerplexityRatioblah/watt-activation/61
0.905
—
hasVersionblah/watt-activation/61
5
—
hasWallTimeblah/watt-activation/61
563.9
—
memberOfFamilyblah/watt-activation/61
ex:kuramoto-family
—
outperformsblah/watt-activation/61
ex:standard-model
—
typeblah/watt-activation/61
ex:Model
—
usesAttentionTypeblah/watt-activation/61
ex:softmax-attention
References (1)
1 references
- custom
ctx:discord/blah/watt-activation/61- full textwatt-activation-61text/plain3 KB
doc:agent/watt-activation-61/3d9a288b-f7ca-4227-8d92-0bca73a33496Show excerpt
[2026-03-07 10:25] xenonfun: ``` Config: anchor_v3_m32_L2048 (seq_len=2048, kwargs={'use_anchor': True, 'n_anchors': 32}) …
See also
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