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.

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LlamaNVIDIA模型发布端侧推理

llama qwen3

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Llama 相关模型动态已经出现，适合跟踪能力变化、生态影响和后续可用性。

AI 摘要

A user tested the Qwen3.8-Flash-Next model in llama.cpp, evaluating its performance from CPU-only to 96GB VRAM on an RTX 6000 PRO. The tests showed significant improvements in token generation speed, increasing from 8.5 tok/s to 109.07 tok/s with 96GB VRAM. The findings detail how usable VRAM impacts prefill and decode speeds, with higher VRAM configurations leading to faster processing and fewer expert layers in RAM.