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Time Capsule of Testable Human Knowledge: 41 Years of Jeopardy! in a Single Free Local Model

A 9 GB 4-bit quantized Qwen2.5-14B model running locally answers 67% of the full 529,939-clue Jeopardy! corpus and 65% on post-cutoff clues, according to a new arXiv paper (2608.27459). The benchmark shows mid-size local models can handle broad factual recall offline for free, though they trail frontier models like Claude Opus, which scores 95%.

read1 min views1 publishedAug 31, 2026
Time Capsule of Testable Human Knowledge: 41 Years of Jeopardy! in a Single Free Local Model
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arXiv

Time Capsule of Testable Human Knowledge: 41 Years of Jeopardy! in a Single Free Local Model

Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.

A 9 GB 4-bit Qwen2.5-14B running locally answers 67% of the full 529,939-clue Jeopardy! corpus and 65% on post-cutoff clues, meaning a broad factual-recall capability that once required a server cluster now fits in a file you can run offline for free. For anyone shipping, this quantifies that mid-size local models are viable for general-knowledge lookup without API dependency—but the 65% vs. 95% gap against frontier models (Claude Opus) is your accuracy tax for going local, so reserve small local models for latency/cost-sensitive recall and keep frontier calls for high-stakes factoid precision.

Mistral Large quota or rate limit — check usage and plan. Original headline: Time Capsule of Testable Human Knowledge: 41 Years of Jeopardy! in a Single Free Local Model

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