Local AI · Recipe · 1× DGX Spark

DeepSeek-V4.1-Flash EXL3 1.59 bpw with ExLlamaV3 on 1× DGX Spark

by vcruz305

17.5tok/sMixed

1 request, mixed prompt set, with DSpark

Source: github.com
Intelligence (original model) · Artificial Analysis40with thinkingno thinking 25Original model's value. Heavily compressed (~1.6 bit), intelligence is likely much lower.

≤ 3 bit: quantization may cost quality

Engine

Engine
ExLlamaV3 Fork + EXL3-Attention/MTP-Overlay
Quantization
EXL3 SAGE 1.59bpw
Model family
DeepSeek-V4.1-Flash
Context
—
Creator
vcruz305
GitHub stars
13
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
ExLlamaV3 Fork + EXL3-Attention/MTP-Overlay

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.
  • Very heavy quantization
  • Custom kernel required

Sources

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