Evaluated Model
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Evaluated Model has 6 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Mostly:rdf:type(2), has parameter count(1), has decode architecture type(1)
Maturity scale
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Other facts (6)
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| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Assessed Model | [2] |
| Rdf:type | Final Model | [2] |
| Has Parameter Count | 108000000 | [1] |
| Has Decode Architecture Type | O(1) recurrent | [1] |
| Has Decode State | compiled | [1] |
| Has Effective Parameter Count | 37400000 | [1] |
Timeline
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References (2)
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. …
ctx:claims/beam/2155073f-6f86-4661-a2c4-49d7e078edee- full textbeam-chunktext/plain1 KB
doc:beam/2155073f-6f86-4661-a2c4-49d7e078edeeShow excerpt
- Define training arguments for the `Trainer` to control the training process. 5. **Trainer**: - Use the `Trainer` from the `transformers` library to fine-tune the model. 6. **Fine-Tuning and Evaluation**: - Fine-tune the model o…
See also
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