Unverified50% confidenceFactExact time
该Bug源于llama.cpp的fp16快速路径标志位未将sm_60（P100）排除，而sm_61（GTX 10系、P40）早已被排除
1
Sources
50%
Confidence
Long-term
Relevance
7/25/2026
First Seen
Sources
三行代码修复：Tesla P100在llama.cpp中精度提升2300倍
redditr/LocalLLaMA7/12/2026
Related Claims
UnverifiedGTX 10-series GPUs and the P40 (architecture code name sm_61) have long been excluded from llama.cpp's fp16 fast path, but the P100 (architecture code name sm_60) has not been excluded.81% similarUnverifiedAs a data center flagship, the P100 is equipped with dedicated FP16 SIMD units, theoretically capable of 21.2 TFLOPS of FP16 compute, making it the only model in the Pascal family with fast fp16 hardware units.66% similarUnverifiedThis precision issue has only been measured and confirmed on sm_60 (P100); sm_61 architectures such as the GTX 1080 and P40, as well as Volta and newer architectures (including the RTX series), are not affected by this patch.64% similarUnverifiedThe llama.cpp inference framework does not natively support the FP8 format, and Q8_0 is not equivalent to FP863% similarUnverifiedGTX 10系（sm_61，GP104芯片）刻意阉割FP16性能，需拆分为两个FP32操作，FP16算力仅约为FP32的一半59% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/613150API
curl https://kongchang.com/api/v1/knowledge/claims/613150MCP
get_claim(id=613150)