Local AI · Recipe · 1× DGX Spark

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

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.

No sourced measurements for this recipe.

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

Related recipes

1× DGX Spark
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1 request, prose prompt, context 4096, no speculative decoding Source 

Intelligence34with thinkingOriginal model's value. Heavily compressed (~2.1 bit), intelligence is likely much lower.
  • ≤ 3 bit: quantization may cost quality

IQ2_XXS gate/up + Q2_K down (routed, imatrix), Q8 Attn/Shared/OutDwarfStar (ds4) main@0aaea5a (2026-09-20)Weights Repo Updated Sep 20, 2026

Details

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