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IQ3_XXS Qwen3.8-Flash-Next 125B at full 262K context on one 3090 and 32GB of RAM — my config and my numbers, and I'd like to see yours

Running IQ3_XXS of Qwen3.8-Flash-Next (125B MoE) at the model's full native 262,144-token context on a single RTX 3090 with 32 GB of RAM. 1325 tok/s prefill, 59-62 decode at long context and 63-100 at short context, without reading a single byte off the NVMe. Engine is Strata, not llama.cpp. I'm po…

Read the full story at r/LocalLLM ↗

Timeline · 2 reports

  1. 2026-10-12 08:37 · r/LocalLLaMA
    Qwen3.8-Flash-Next on six 3090s with vLLM: 7 users at 262k, 6.5k t/s prefill, 57 t/s decode solo / 206 t/s aggregate with all 7 generating. Fixes for the upstream included.
  2. 2026-10-12 00:58 · r/LocalLLM
    IQ3_XXS Qwen3.8-Flash-Next 125B at full 262K context on one 3090 and 32GB of RAM — my config and my numbers, and I'd like to see yours

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