Qwen3.8 Flash Next FP8 on 4x CMP 170HX: PP3 transformer stages with the 51B PLE table on GPU 3
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Updated
Aug 30, 2026 - Python
Qwen3.8 Flash Next FP8 on 4x CMP 170HX: PP3 transformer stages with the 51B PLE table on GPU 3
用消费级显卡在本地跑动 MoE 架构 30B~35B 大模型:显存与内存混合承担(非专家权重上显存、占大头的专家权重留内存),速度远超纯 CPU;显存不够或没有独显时纯 CPU 兜底。免装 CUDA/Python/任何运行库,模型可替换。
Measured report + drop-in harness for running llama.cpp with the Vulkan backend on Android/Adreno (Turnip). GPU offload cuts CPU time 6.6x while token generation stays flat. Raw benchmark data, offload ladder, and a corrections log.
Experimental portable GGML GPU offload for diffuse-cpp across Vulkan, Metal, and CUDA
Run LLM2Vec (Llama-3-8B) on an 8 GB GPU via RAM offload, and batch it without changing the embeddings (padding shifts them: cosine 0.76 vs 0.999956)
Proof repo: run a real LLM fully on-device in React Native (Expo + llama.rn). Offline, no cloud, sub-2s cold start.
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