Unverified50% confidenceBenchmarkExact time
At this compression ratio, the model retains 74.2% top-1% accuracy
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/6/2026
First Seen
Valid until: 11/4/2026
Sources
Unsloth联手Thinking Machines：1-bit动态量化压缩86%，270GB跑多模态大模型
Related Claims
VerifiedModel distillation can compress parameter count to 1/10 of the original while retaining 70–80% of the original performance.72% similarUnverifiedWith well-calibrated FP8 inference, the loss in model output quality can typically be kept within 1%.68% similarUnverifiedThe per-step accuracy of current top-tier models is approximately between 90% and 95%.68% similarUnverifiedIn a needle-in-a-haystack test with a 256K context, both models performed identically, each achieving a score of 93%, with each failing only once at 100% full context depth.67% similarUnverifiedIn a well-calibrated model, an output score of 0.8 should statistically correspond to an actual accuracy of 80%.66% similar
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