Local AI · Recipe · 2× RTX 3090

GLM-5.3-Flash 320B UD-IQ3_XXS with llama.cpp on 2× RTX 3090

by noonghunna

18.1tok/sEveryday

1 request, prose prompt, no speculative decoding

Source: github.com
Intelligence (original model) · Artificial Analysis42with thinking

≤ 3 bit: quantization may cost quality

Engine

Engine
llama.cpp
Quantization
GGUF UD-IQ3_XXS
Model family
GLM-5.3-Flash
Context
204,800
Parameters
320B MoE
Creator
noonghunna
GitHub stars
2,288
Repo updated
Sep 25, 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
2 × NVIDIA RTX 3090
Weights
Engine
llama.cpp
Context
204,800 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
  • Incubating

Sources

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