specific method · filed under evaluation
Diverse benchmark validation for quantization
Using a mixed benchmark set to check whether quantization introduces side effects across tasks.
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Evidence
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Using a mixed set of benchmarks to properly validate that the quantization process does not introduce any unintended side effects, especially for the tasks that require strict formatting such as agentic coding.
usedevaluation onlyin Laguna XS.2Poolside
Filed alongside
Other methods under evaluation.
Prompt-based output standardizationEvaluation without safety filtersRefusal-suppressed variants for capability estimationavg@kAlmost@1Behavior testing with stubs and edge casesDeadline-bounded rollout evaluationDocumenting evaluation configurationEnd-to-end exploit development evaluationEvaluation equivalence thresholdFixed MTP draft-token acceptance lengthFour-run mean pass@1Full trajectory releaseJoint validation protocolMean@5Model–harness co-designOfficial-release-source baseline restrictionPrompt engineering to elicit answersProtocolQA robustness validationRefusal behavior quantificationRollout-based auditingSample test and length-constraint filteringSandboxed GPU kernel optimization evaluationSingle-agent and multi-agent evaluation configurations