TinyStories
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
TinyStories has 6 facts recorded in Dontopedia across 4 references.
Mostly:exists with split(1), taught it to(1), training goal(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound 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.
adaptingToAdapting to(1)
- Model
ex:model
trainsOnTrains on(1)
- Fine Tuned Model
ex:fine-tuned-model
Other facts (5)
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.
| Predicate | Value | Ref |
|---|---|---|
| Exists With Split | Train Val | [1] |
| Taught It to | stop | [2] |
| Training Goal | Stop Token Behavior | [3] |
| Rdf:type | Dataset | [4] |
| Was Overwritten by | Fineweb Edu | [4] |
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 (4)
ctx:discord/blah/watt-activation/part-143ctx:discord/blah/watt-activation/part-145ctx:discord/blah/watt-activation/145- full textwatt-activation-145text/plain3 KB
doc:agent/watt-activation-145/64378aae-25d8-4d98-9efb-8655275675ddShow excerpt
[2026-03-09 15:14] xenonfun: recommending https://huggingface.co/datasets/HuggingFaceTB/everyday-conversations-llama3.1-2k for conversations at this gpt-2 small scale [2026-03-09 15:16] xenonfun: Practical recommendation: Start with everyda…
ctx:discord/blah/watt-activation/162- full textwatt-activation-162text/plain2 KB
doc:agent/watt-activation-162/60b4e03a-418d-44da-a803-c9585844c73eShow excerpt
[2026-03-09 18:40] xenonfun: ⏺ Here's my assessment: Speed: Excellent - 265 tok/s decode on M2 Ultra (idle), 14-27ms prefill. Very fast for 108M params. The compiled O(1) recurrent decode is working well. …
See also
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