Local AI · Recipe · 4× DGX Spark

Qwen3.8-27B EXL3 with vLLM on 4× DGX Spark

Qwen3.8-27B EXL3 with vLLM on 4× DGX Spark: 35.1 tok/s according to github.com (dataset as of Sep 29, 2026).

by fujitsupolycom

35.1tok/sEveryday

1 request, realistic prompt, with Qwen MTP3 probabilistic mit standard rejection (per recipe)

Source: github.com

Intelligence (original model) · Artificial Analysis34with thinking no thinking 20

Instructions in the README Repo

Engine: vLLM
Quantization: EXL3 K5/K6 gemischt, 21.59 GB (hf hydrated); FP8 KV (kv_cache_dtype fp8); EXL3-Prefill FP8, Tile 256
Model family: Qwen3.8-27B
Context: 1,048,576
Parameters: 27.8B dense (Qwen/Qwen3.8-27B, HF-API)
Creator: fujitsupolycom
GitHub stars: 82
Repo updated: Sep 27, 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)35.1 tok/scontext 16K decode · N=5 Mittel; unique cold prompts, temp 1.0, top-p 0.95/top-k 20 aus der generation_config der Quelle; Workload-Typ in der Quelle nicht klassifiziert Source
Peak (decode)48.5 tok/sCoding Peak, 15/15 requests, Mittel (Median 47.89, Range 44.57–52.13) Source

Prefill by context

16K1,964 tok/sN=3 Mittel Source

What you need

Hardware: 4 × NVIDIA DGX Spark (GB10)
Weights: Main weightsmalaiwah/Qwen3.8-27B-EXL3-K5K6-hydrated Apache-2.0
Engine: vLLM
Context: 1,048,576 tokens

Notes

What matters before you rebuild it.

Custom kernel required

Sources

Related recipes

1× Mac

Qwen3.8-27B with MLX on 1× Mac

by Weschera

53.3tok/sEveryday

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

Intelligenceno independent value

License unclear

oQ4e (4-bit affine g64, 166 sens. Tensoren 5-bit; Stock-Qwen3.8-27B-Konversion)oMLX 0.6.3rc2Weights Repo Updated Aug 21, 2026

Details

1× DGX Spark

Qwen3.8-27B NVFP4 with vLLM on 1× DGX Spark (Weschera)

by Weschera

45tok/sEveryday

1 request, prose prompt, with MTP Source

Intelligenceno independent value

NVFP4 (unsloth; compressed-tensors) + fp8 KV + triton_attn (fp8-KV auf GB10 nur mit triton, FA kann kein fp8-KV auf sm_121)vLLMWeights Repo Updated Aug 15, 2026

Details

1× DGX Spark

Qwen3.8-27B NVFP4 with Atlas on 1× DGX Spark

by Weschera

19tok/sEveryday

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

Intelligenceno independent value

Experimental
Custom kernel required

NVFP4 (unsloth); MTP-Head bf16 (--mtp-quantization bf16); fp8 KV (Engine-Default)AtlasWeights Repo Updated Aug 15, 2026

Details

1× RTX 3090

Qwen3.8-27B EXL3 4.00 bpw with buun-llama-cpp on 1× RTX 3090

by r0b0tlab

27.8tok/sMixed

1 request, mixed prompt set, context 150000, with DFlash2 (per recipe) Source

Intelligence34with thinking no thinking 20

Custom kernel required

EXL3 4.00 bpw (Target + DFlash2-Draft), VBR-KV turbo8/turbo3buun-llama-cppWeights Repo Updated Sep 20, 2026

Details

1× DGX Spark

Qwen3.8-27B NVFP4 with vLLM on 1× DGX Spark

by r0b0tlab

27.8tok/sMixed

1 request, mixed prompt set, with MTP Source

Intelligence34with thinking no thinking 20

License unclear

NVFP4 (+ BF16-MTP-Kopf)vLLM v0.27.2rc0-sm121 (7f7a32c)Weights Repo Updated Aug 20, 2026

Details

1× DGX Spark

Qwen3.8-27B NVFP4 with SGLang on 1× DGX Spark (Weschera)

by Weschera

25.2tok/sMixed

1 request, mixed prompt set, with DFlash2 (per recipe) Source

Intelligenceno independent value

Custom kernel required

NVFP4 (RadixArk) + BF16-Draft; quantized lm_head-Adapter (TP=1, 256-token selector chunks, FP32 top-k — r0b0tlab-Ansatz)SGLangWeights Repo Updated Aug 21, 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.

See the AI workshop Back to overview