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Local AI · Recipe · 2× DGX Spark

Qwen3.8-Flash-Next 125B NVFP4 with vLLM on 2× DGX Spark

Qwen3.8-Flash-Next 125B NVFP4 with vLLM on 2× DGX Spark: 54.4 tok/s according to github.com (dataset as of Nov 3, 2026).

by MiaAI-Lab

54.4tok/sEveryday

1 request, prose prompt, with MTP (per recipe)

Source: github.com
Intelligence (original model) · Artificial Analysis40with thinking
Instructions in the README Repo

Engine

Engine
vLLM vllm/vllm-openai:qwen38-flash-next
Quantization
NVFP4 (nvidia) + FP8 KV
Model family
Qwen3.8-Flash-Next
Context
262,144
Parameters
125B-A6B (s.o.)
Creator
MiaAI-Lab
GitHub stars
384
Repo updated
Oct 4, 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

  • Everyday (decode)54.4 tok/sProse, TTFT 160 ms Source 

Decode · parallel requests

Sums over all streams are marked; per request it is correspondingly less.

  • sum over 16 streams326 tok/sPeak (decode) · context 256K · Structured ×16 aggregate, vLLM-0.30-Lane (opt-in, 2026-09-27): 76,0 ×1 / 326,3 ×16; Code 313,6 ×8. Day-0-Lane: prose ×1 54,4, ×8 207,0 Source 

Prefill by context

  • 16K3,490 tok/s16k-Prompt in der v0.30-Lane (2026-09-27): 2.791 @1k / 3.313 @4k / 3.490 @16k / 2.982 @32k / 2.046 @64k / 2.898 @128k Source 

What you need

Hardware
2 × NVIDIA DGX Spark (GB10)
Engine
vLLM vllm/vllm-openai:qwen38-flash-next
Context
262,144 tokens

Sources

Related recipes

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by MiaAI-Lab

89.3tok/sEveryday

1 request, prose prompt, with MTP (per recipe) Source 

Intelligenceno independent value
  • Custom kernel required
  • License unclear

INT4-AutoRound (GPTQ int4, Top-5-Experten) + FP8 n-gram-Tabelle, FP8 KVTensorFold tensorfold-native (Zig, zig-flashnext db281878 + patches), Image ghcr.io/miaai-lab/qwen3.8-flash-dual-dgx-sparks-tensorfold:zig-db28187-f3e1300f4f62, TP=2 über CX7/RoCE, MTP + Copy-Drafts (QUANT=int4ar)Weights Repo Updated Oct 26, 2026

Details
2× DGX Spark

Qwen3.8-Flash-Next INT4-AutoRound (v5.2) with vLLM on 2× DGX Spark

by myllmbox

74tok/sEveryday

1 request, prose prompt (long story), thinking off, with MTP Source 

Intelligence40with thinking
  • Custom kernel required
  • License unclear

INT4-AutoRound (azampatti): int4-Experten, fp8-Seitenschichten; n-gram-Tabelle beim Laden fp8 → NVFP4, halb pro Box auf der GPU; KV-Pin 29G/Box (1.829.182 Tokens)vLLM 0.30 (Image myllmbox/qwen38-flash-next-cluster-vllm:v5.2; RecoverSSM, dynamischer Draft-Depth 3–7 in Full-CUDA-Graphs, sampled Drafts + Block-Verifikation, One-Shot-RoCE-All-Reduce, Dual-Rail, TP=2, 64 Seats) — Kit v5.2Weights Repo Updated Oct 29, 2026

Details

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