Unverified50% confidenceFactExact time
This 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.
1
Sources
50%
Confidence
Long-term
Relevance
7/24/2026
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
UnverifiedThe update fixes fast-inference compatibility on the latest vLLM (0.22+) and improves support for RTX 50X and 60X series GPUs based on the Blackwell architecture.71% similarUnverifiedThe RTX 6000 Ada's fourth-generation Tensor Cores support FP8 precision computation.70% similarUnverifiedFull fine-tuning now uses the correct precision on GPUs that do not support bf16, such as the V100.69% similarUnverifiedP106-100基于Pascal架构（GP106芯片），与GTX 1060共享相同的计算核心68% similarUnverifiedV100所属的Volta架构不具备原生FP8硬件加速支持，FP8原生支持于Hopper架构的H10066% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/608972API
curl https://kongchang.com/api/v1/knowledge/claims/608972MCP
get_claim(id=608972)