Local AI · Recipe · 1× DGX Spark

DeepSeek-V4-Flash EXL3 3.0 bpw with vLLM on 1× DGX Spark (256k context)

DeepSeek-V4-Flash EXL3 3.0 bpw with vLLM on 1× DGX Spark (256k context): 38.1 tok/s according to huggingface.co (dataset as of Nov 3, 2026).

by 0xSero

38.1tok/sPeak

1 request, code prompt

Source: huggingface.co
Intelligence (original model) · Artificial Analysisno independent value

≤ 3 bit: quantization may cost quality

Engine

Engine
vLLM
Quantization
REAP-pruned + EXL3/Trellis TR3 ~3.0 bpw experts, FP8 carried tensors; KV: 584-Byte padded FP8 sparse-MLA (nvfp4_ds_mla-Pfad)
Model family
DeepSeek-V4-Flash
Context
262,144
Parameters
REAP: 216 von 256 routed experts behalten (Gesamtparameter nicht angegeben)
Creator
0xSero
GitHub stars
166
Repo updated
Sep 25, 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)38.1 tok/sMedian von 5×512-Token Code-Trials (min 34.30, mean 39.49) Source 

Prefill by context

  • 252K1,055 tok/sCold; Kandidaten-Evidenz, vor finalem Image Source 

What you need

Hardware
1 × NVIDIA DGX Spark (GB10)
Engine
vLLM
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.
  • Experimental
  • REAP-pruned
  • Custom kernel required

Sources

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