community Reddit LocalLLaMA 2026-09-29T11:18 正文 thin 0 words

Qwen 3.8 27B Q4 with 100K context on a 16 GB RX 7800 XT guide

英文标题:Qwen 3.8 27B Q4 with 100K context on a 16 GB RX 7800 XT guide

I'm running Qwen 3.8 27B Q4 XS with ~30 t/s decode (no MTP) at 100k context with q8/q5 KV cache on a 16GB AMD GPU. I wanted to share my setup since many believe Qwen 3.8 27B to be infeasible on 16GB VRAM. Build llama.cpp with Vulkan: cmake -B build -DGGML_VULKAN=ON && cmake --build build --config Re
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I'm running Qwen 3.8 27B Q4 XS with ~30 t/s decode (no MTP) at 100k context with q8/q5 KV cache on a 16GB AMD GPU. I wanted to share my setup since many believe Qwen 3.8 27B to be infeasible on 16GB VRAM. Build llama.cpp with Vulkan: cmake -B build -DGGML_VULKAN=ON && cmake --build build --config Re

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English / 原文

I'm running Qwen 3.8 27B Q4 XS with ~30 t/s decode (no MTP) at 100k context with q8/q5 KV cache on a 16GB AMD GPU. I wanted to share my setup since many believe Qwen 3.8 27B to be infeasible on 16GB VRAM. Build llama.cpp with Vulkan: cmake -B build -DGGML_VULKAN=ON && cmake --build build --config Re