Local AI · Recipe · 1× DGX Spark

Nemotron 3.5 Bolt 74B-A9B IQ2 with vLLM on 1× DGX Spark

Nemotron 3.5 Bolt 74B-A9B IQ2 with vLLM on 1× DGX Spark: 87.8 tok/s according to github.com (dataset as of Nov 3, 2026).

by vcruz305

87.8tok/sPeak

1 request, synthetic prompt, with LiLiCorr/DFlash (per recipe)

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

≤ 3 bit: quantization may cost quality

Engine

Engine
vLLM 0.32.0rc1.dev100+g77154ca61 (Wheel-Commit 77154ca6) + b12x 1.5.1, FlashInfer-Attention
Quantization
ModelOpt IQ2 gemischt (IQ2_XXS + ausgewählte Q8_0/NVFP4/unquantisierte Tensoren, 24 GB), FP8-KV; Draft LiLiCorr NVFP4 (DFlash, 7 Tokens)
Model family
Nemotron-3.5-Bolt-74B-A9B
Context
262,144
Parameters
74B MoE / 9B aktiv (lt. Modellname)
Creator
vcruz305
GitHub stars
0
Repo updated
Oct 16, 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)87.8 tok/sSixcat, synthetische Prompts (32 Wörter, 512 Tokens Ausgabe), p50 aus 4 Anfragen, Thinking an, temp 0, DFlash 7 Tokens; ohne Draft 30,88 Source 

Prefill by context

  • ~2.5k1,328 tok/sSixcat Long-Prompt, p50, client-effektiv inkl. SSH-Tunnel und First-Token-Handoff (kein serverseitiger Prefill-Zähler), mit DFlash Source 

What you need

Hardware
1 × NVIDIA DGX Spark (GB10)
Engine
vLLM 0.32.0rc1.dev100+g77154ca61 (Wheel-Commit 77154ca6) + b12x 1.5.1, FlashInfer-Attention
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.
  • License unclear

Sources

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Details

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