Unverified50% confidenceFactExact time
Strata offers multiple quantization tiers: 66GB Q20 (fastest), 68GB IQ2XS (balanced), 76GB IQ3XS (best quality), with the test using IQ3S at 83.6GB.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/5/2026
First Seen
Valid until: 1/3/2027
Sources
Related Entities
Related Claims
Unverified文章称IQ3_S档位通常能将准确率保留提升到90%以上、体积约13-15GB，Q4_K_M能保留95%以上准确率、体积约16-18GB73% similarUnverifiedIQ4_XS量化文件大小15.57GB，pp2048为95.4 tok/s，tg128为10.9 tok/s72% similarUnverifiedMemory requirements are at least 37.6 GB for Q2_0, at least 39.2 GB for IQ2_XS, and at least 47 GB for IQ3_XXS, with the vision encoder occupying an additional 0.91 GB.71% similarPartially VerifiedThe QLoRA paper verified that NF4 quantization combined with LoRA fine-tuning can reduce memory requirements from 780GB to 48GB on a 65B parameter model while maintaining performance close to full-precision fine-tuning66% similarUnverifiedThe average quantization bit width of IQ4_XS is approximately 4.25 bits.66% similar
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