Local AI · Recipe · 1× DGX Spark

Ornith-1.5-122B EXL3 2.58 bpw with vLLM on 1× DGX Spark

Ornith-1.5-122B EXL3 2.58 bpw with vLLM on 1× DGX Spark: 30.5 tok/s according to github.com (dataset as of Nov 3, 2026).

by vcruz305

30.5tok/sPeak

Best value reported by source, 1 request, prompt type not stated, greedy, 512 tokens, default serve.sh without MTP

Source: github.com
Intelligence (original model) · Artificial Analysisno independent value

≤ 3 bit: quantization may cost quality

Engine

Engine
vLLM 0.32.0 + vllm-exl3 Fork 3275819 (-DP2B_CB=2), VLLM_EXL3_COOP=1 + COALESCE_SHARDS=1, BF16-SSM
Quantization
EXL3 SAGE 2.58bpw (MixedK, mul1-Codebook, lm_head K=8), BF16 KV
Model family
Ornith-1.5-122B
Context
262,144
Parameters
122B MoE, 256 Experten top-8 + 1 Shared (laut README)
Creator
vcruz305
GitHub stars
0
Repo updated
Oct 22, 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)30.5 tok/sMittel-Decode C=1, Standard-serve.sh (COOP + Coalesce + BF16-SSM, ohne MTP), greedy, 512 Token; Prompt-Typ nicht genannt; Spitze 30,57 Source 

Prefill by context

Time to first token

Shorter is better.

  • Prompt not stated1,830 mscontext 2K · Kalt, 2.048 Token Source 

What you need

Hardware
1 × NVIDIA DGX Spark (GB10)
Engine
vLLM 0.32.0 + vllm-exl3 Fork 3275819 (-DP2B_CB=2), VLLM_EXL3_COOP=1 + COALESCE_SHARDS=1, BF16-SSM
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.
  • Custom kernel required
  • tool-calling

Sources

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Details

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