Qwen3.8-Flash-Next in llama.cpp from CPU-only to 96GB VRAM: 8.5 to 109 tok/s, max context and parameters test. My findings on RTX 6000 PRO.
This story is from 2026-08-31. It is preserved in the archive; the latest stories are on the live feed.
Hey guys, I tested Qwen3.8 Flash with llama.cpp from CPU-only to the full 96GB of my RTX PRO 6000. Short version: CPU-only reached 8.34 tok/s at a 2K prompt Full 96GB reached 109.07 tok/s At 245K context, 24GB to 96GB gave 14.89 to 21.61 tok/s The 96GB advantage over 24GB decreased from 2.80x at 2K…
Read the full story at r/LocalLLaMA ↗
Timeline · 5 reports
- 2026-09-03 03:04 · r/LocalLLaMA
Qwen3.8-Flash-Next on 2x3090 + DDR4: 17 → 25-29 t/s decode with the expert cache PR - 2026-09-01 09:26 · r/LocalLLM
Qwen3.8-Flash-Next-Uncensored (125B MoE) running on a 16GB GPU! Pushing 50% context (132K tokens) on AMD RX 9070 XT & llama.cpp ROCm - 2026-09-01 05:30 · r/LocalLLM
MTP released for Qwen3.8-Flash-Next-GGUF - 2026-09-01 05:10 · r/LocalLLaMA
MTP released for Qwen3.8-Flash-Next-GGUF - 2026-08-31 20:17 · r/LocalLLaMA
Qwen3.8-Flash-Next in llama.cpp from CPU-only to 96GB VRAM: 8.5 to 109 tok/s, max context and parameters test. My findings on RTX 6000 PRO.