Local AI · Recipe · 1× RTX 3090

Qwen3.8-Flash-Next 125B-A6B EXL3 2.50 bpw with ExLlamaV3 on 1× RTX 3090

by r0b0tlab

38.6tok/sMixed

1 request, mixed prompt set, with MTP

Source: github.com
Intelligence (original model) · Artificial Analysis40with thinking

≤ 3 bit: quantization may cost quality

Engine

Engine
ExLlamaV3
Quantization
EXL3 2.50 bpw (41.5 GiB) + 3-bit n-gram Tabelle
Model family
Qwen3.8-Flash-Next
Context
262,144
Parameters
125B MoE / 6B active (lt. README)
Creator
r0b0tlab
GitHub stars
19
Repo updated
Sep 17, 2026

Measurements

Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.

No sourced measurements for this recipe.

What you need

Hardware
1 × NVIDIA RTX 3090
Engine
ExLlamaV3
Context
262,144 tokens

Notes

What matters before you rebuild it.

  • ≤ 3 bit: quantization may cost qualityAt 3 bit and below the model may answer noticeably worse than the original. The intelligence number refers to the original.
  • Partly in system RAM
  • License unclear

Sources

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