SLM-quantization-eval

SLM-quantization-eval

danishnaseer00

Reproducibility artifact for a study of how post-training quantization changes small language models' responses to misleading contextual cues. Frozen trial set, 15 generation files, 3,078 automated judgments, human annotation audit, and full analysis pipeline.

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Python Language
mit License
49.1 SrcLog Score
Cost to Build
$171.3K
Market Value
$108.8K

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4 data points  ·  2026-08-06 → 2026-10-18
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What is the danishnaseer00/SLM-quantization-eval GitHub project? Description: "Reproducibility artifact for a study of how post-training quantization changes small language models' responses to misleading contextual cues. Frozen trial set, 15 generation files, 3,078 automated judgments, human annotation audit, and full analysis pipeline.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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