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Llama — Field Evidence

paperUnverified
Llama · Llama · adoption
Field note
KronQ: LLM Quantization via Kronecker-Factored Hessian — Post-training quantization (PTQ) is a widely adopted technique for compressing large language models (LLMs) without retraining. Existing second-order PTQ methods, including GPTQ, construct quantization objectives exclusivel
collected 2026-07-10original 2026-07-08

Does this shift the US–China race?

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Impact on the index
Adoption · minor
US +20
Directional contribution — before recency decay and per-type diminishing returns. How it works →
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Related Front

US vs ChinaLikely
U.S. FrontiervsChina Open-Weight

Likely — capability gap narrowing on common tasks

Letters from the Front

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