The matched-compute result is based on an effective-architecture theoretical FLOP estimator whose reported forward coefficients differ by model and whose training estimate multiplies forward computation by three to approximate forward plus backward work.

The matched-compute result is based on an effective-architecture theoretical FLOP estimator whose reported forward coefficients differ by model and whose training estimate multiplies forward computation by three to approximate forward plus backward work. · CiteArk

Measurement results

0/8 assessed

0 supported0 disputed or conflicting8 not assessed

The complete result group stays with its claim. Assessed rows come first; their judgments do not replace the whole-claim conclusion. Expand a row for conditions, sources, and evidence history.

Each row is a measurement with its reported value, latest available observation, and cumulative evidence state.
Metric and conditions	Reported	Latest observation	Evidence judgment
model: 47B classic · qualifier: approximately	3.8875 billion FLOPs per token	—	Not assessed
model: 63B classic · qualifier: approximately	5.1485 billion FLOPs per token	—	Not assessed
model: source · qualifier: approximately	3.0873 billion FLOPs per token	—	Not assessed
model: 67B SST · qualifier: approximately	5.4107 billion FLOPs per token	—	Not assessed
qualifier: approximation	3 factor	—	Not assessed
	4,096 tokens	—	Not assessed
	512 tokens	—	Not assessed
	128,896 rows	—	Not assessed

The matched-compute result is based on an effective-architecture theoretical FLOP estimator whose reported forward coefficients differ by model and whose training estimate multiplies forward computation by three to approximate forward plus backward work.

Reported and observed measurements

Assessments (0)

Runs (0)

Measurement results