Unverified50% confidenceBenchmarkExact time
Precision loss comparison by quantization level: Q5 is nearly lossless, Q4 has approximately 2%–5% loss, Q3 has approximately 8%–15% loss, and Q2 has approximately 30%–50% loss.
1
Sources
50%
Confidence
Long-term
Relevance
9/6/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedResearch indicates that at Q4 precision and above, performance loss is within 1–3% for most tasks.80% similarVerifiedINT8 quantization loses approximately 0.5% accuracy while halving VRAM usage; INT4 quantization compresses VRAM to 1/4 of the original with an accuracy loss of approximately 1–3%.77% similarUnverifiedQ4_K_M is the most mainstream balanced quantization choice, with perplexity loss typically below 1%; Q2_K can compress a 70B model to approximately 26GB but with a noticeable quality degradation.74% similarUnverified4-bit quantization reduces model size to 1/8 of the original at the cost of approximately 1–3% accuracy loss.70% similarVerified量化技术可将模型体积压缩50%-75%，在损失极小精度前提下降低显存占用66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/866087API
curl https://kongchang.com/api/v1/knowledge/claims/866087MCP
get_claim(id=866087)