Local AI · Recipe · 1× DGX Spark

Qwen3.6-35B-A3B NVFP4 with vLLM on 1× DGX Spark (64k context)

Qwen3.6-35B-A3B NVFP4 with vLLM on 1× DGX Spark (64k context): 79.7 tok/s according to github.com (dataset as of Nov 3, 2026).

by r0b0tlab

79.7tok/sMixed

1 request, mixed prompt set, with MTP (per recipe)

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

Engine

Engine
vLLM 0.24.1-dev
Quantization
NVFP4 experts + FP8 dense (compressed-tensors) + FP8 KV
Model family
Qwen3.6-35B-A3B
Context
65,536
Parameters
35B total / 3B active MoE
Creator
r0b0tlab
GitHub stars
7
Repo updated
Jul 10, 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)79.7 tok/scontext 2048 Prompt, depth 0 · Llama-benchy tg128, 3 Läufe Source 
  • Peak (decode)87 tok/scontext 2048 Prompt + depth 16,384 · Llama-benchy Source 

Prefill by context

  • 2048 + depth 16,3845,527 tok/sLlama-benchy; TTFR 3,339.0 ms Source 

What you need

Hardware
1 × NVIDIA DGX Spark (GB10)
Weights
Engine
vLLM 0.24.1-dev
Context
65,536 tokens

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

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