training_workflow
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
training_workflow is Train Kant LoRA (domain + Q&A combined).
Mostly:rdf:type(2), requires completion of(2), description(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (1)
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orchestratesOrchestrates(1)
- Update Model Function
ex:update-model-function
Other facts (6)
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References (2)
ctx:discord/blah/watt-activation/29- full textwatt-activation-29text/plain3 KB
doc:agent/watt-activation-29/6b0fa854-4440-4074-9292-3ba0857fae78Show excerpt
[2026-03-06 18:59] xenonfun: and if that works can just throw adapter and such on others, swap as needed. [2026-03-06 18:59] xenonfun: ``` Subagent still generating Q&A pairs. infer.py is ready with: - --qa flag: wraps input as Q: ...\…
ctx:claims/beam/7201bba1-26c3-4b9d-9cb7-2f68abdc6519- full textbeam-chunktext/plain1 KB
doc:beam/7201bba1-26c3-4b9d-9cb7-2f68abdc6519Show excerpt
- **Error Handling**: Use try-except blocks to catch and print errors, which helps in debugging. - **Verification**: Verify that the model and optimizer were loaded correctly after attempting to load them. This approach should help you deb…
See also
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