Local AI · Recipe · 4× RTX 3090

Ornith-1.5-35B-A3B EXL3 3 bpw with ExLlamaV3 on 4× RTX 3090

by 0xSero

50tok/sPeak

1 request, best value reported by source

Source: huggingface.co
Intelligence (original model) · Artificial Analysisno independent value

≤ 3 bit: quantization may cost quality

Engine

Engine
exllamav3 (TabbyAPI) 1.4.3 (+ Patch tp_import_split_n)
Quantization
EXL3 3 bpw Experten (MCG), Rest BF16, MTP 4 bpw
Model family
Ornith-1.5-35B-A3B
Context
262,144
Parameters
35B total / 3B active
Creator
0xSero
GitHub stars
0
Repo updated
Aug 26, 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
4 × NVIDIA RTX 3090
Engine
exllamav3 (TabbyAPI) 1.4.3 (+ Patch tp_import_split_n)
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.

Sources

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