Dontopedia

Candle framework

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

Candle framework has 7 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

7 facts·5 predicates·3 sources·1 in dispute

Mostly:rdf:type(2), handles training details(1), is rust ml framework(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

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.

criticizesLibraryIndirectlyCriticizes Library Indirectly(1)

usesToolUses Tool(1)

Other facts (6)

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.

6 facts
PredicateValueRef
Rdf:typeSoftware[2]
Rdf:typeSoftware Library[3]
Handles Training Detailstrue[1]
Is Rust ML Frameworknull[1]
Exists As Drop in Optionnull[1]
Providestensor ops[3]

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.

7 undated
—
handlesTrainingDetailsblah/random/part-27
true
—
isRustMlFrameworkblah/random/part-27
null
—
existsAsDropInOptionblah/random/part-27
null
—
typeblah/random/27
ex:Software
—
labelblah/random/27
Candle framework
—
typeblah/safiersemantics/72
ex:SoftwareLibrary
—
providesblah/safiersemantics/72
tensor ops

References (3)

3 references
  1. [1]Part 273 facts
    ctx:discord/blah/random/part-27
  2. [2]272 facts
    ctx:discord/blah/random/27
    • full textrandom-27
      text/plain2 KBdoc:agent/random-27/e650c997-da27-4878-ba9f-a405e95b956a
      Show excerpt
      [2026-02-17 18:23] xenonfun: yeah is with bpe, 7.5M model, with ~40MB of data on that (Gutenburg free library) I am going to do full training that should be enouge sample data now: ``` It's running! 55.7M tokens — so 1 epoch = 50.1M / 4096…
  3. [3]722 facts
    ctx:discord/blah/safiersemantics/72
    • full textsafiersemantics-72
      text/plain2 KBdoc:agent/safiersemantics-72/ed67a7a2-21de-4492-a760-749e1ee367d2
      Show excerpt
      [2026-02-21 13:58] xenonfun: ``` 1. Persistent fp16 (not cast-per-matmul) Our fp16 failed because mm() does 3 dtype casts per matmul × ~120 matmuls = 360 extra GPU kernels. Instead: cast once at the start of each layer, keep intermediat…

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