Unverified50% confidenceBenchmarkExact time
The GGUF Q4_K_M quantized version of Kev 4B scored 72/82 on an M4 Pro / 24GB Mac, matching the cloud version's score, with a median latency of 0.173 seconds—approximately 9 times faster than calling the cloud version (1.534 seconds) and at zero cost.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/11/2026
First Seen
Valid until: 1/9/2027
Sources
Related Entities
Related Claims
UnverifiedThe Q4_K_M/GGUF version of Qwen 27B decodes at approximately 10.7 tok/s on the same machine, roughly 1/3.8 of the MLX version.72% similarUnverifiedJev's reported server time is approximately 88 milliseconds per classification, while running GLiNER 2.5 small locally on a MacBook M4 Pro GPU is approximately 8 times faster.72% similarUnverifiedQ4_K_M量化文件大小17.77GB,pp2048速度96.8 tok/s,tg128速度11.4 tok/s71% similarUnverifiedThe GGUF quantized version Q4_K_M of MiniCPM 2B has a model size of only 1.56G and can run smoothly on devices with 4G VRAM.71% similarUnverifiedThe Flux GGUF Q4_K_S quantized model has a size of 6.4GB; approximately 1,127MB is offloaded to the CPU at runtime, with each step taking 11–22 seconds.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/998810API
curl https://kongchang.com/api/v1/knowledge/claims/998810MCP
get_claim(id=998810)