Local AI · Recipe · 4× RTX 3090

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

Ornith-1.5-35B-A3B EXL3 3 bpw with ExLlamaV3 on 4× RTX 3090: 50 tok/s according to huggingface.co (dataset as of Nov 3, 2026).

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.

Decode · 1 request

  • Peak (decode)50 tok/sAutorangabe „~50 tok/s single stream“ (Näherungswert laut Card, keine Prompt-/Kontextangabe) Source 

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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