Local AI · Recipe · 1× DGX Spark

Qwen3.6-35B-A3B NVFP4 with SGLang on 1× DGX Spark

Qwen3.6-35B-A3B NVFP4 with SGLang on 1× DGX Spark: 57.5 tok/s according to github.com (dataset as of Nov 3, 2026).

by r0b0tlab

57.5tok/sMixed

1 request, mixed prompt set, with MTP

Source: github.com
Intelligence (original model) · Artificial Analysis18with thinkingno thinking 15

Engine

Engine
SGLang
Quantization
NVFP4 (compressed-tensors)
Model family
Qwen3.6-35B-A3B
Context
—
Parameters
35B total / 3B active MoE
Creator
r0b0tlab
GitHub stars
13
Repo updated
May 19, 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

  • Mixed (decode)57.5 tok/sSingle long decode: 512 tokens in 8.91s; MTP accept length ~1.87/2, accept rate ~0.93 Source 
  • Peak (decode)61.5 tok/sConcurrency ramp c1 Source 

What you need

Hardware
1 × NVIDIA DGX Spark (GB10)
Weights
Engine
SGLang

Related recipes

1× DGX Spark
71.8tok/sEveryday

1 request, prose prompt (sampled, thinking off), with LiLiCorr (per recipe) Source 

Intelligenceno independent value
  • ≤ 3 bit: quantization may cost quality
  • Custom kernel required
  • License unclear

24GB pack: IQ2_XXS experts (2.0625 bits), NVFP4 Mamba projections, Q8_0 attention/latent projections/lm_head; bf16 KVTensorFold tensorfold-native v1.1.6 (eea9dc9c) + recipe patches/ (Bolt lane backend, libbolt.so CUDA forward pass), LiLiCorr draftsWeights Repo Updated Nov 1, 2026

Details

← Back to overview

Local AI in your company?

In a workshop we work out which models and which hardware fit your tasks, and build the first agent on your infrastructure.