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Local AI · Recipe · 2× DGX Spark

DeepSeek-V4.1-Flash-1017 EXL3 EAQ 2.9 bpw with TensorFold on 2× DGX Spark

DeepSeek-V4.1-Flash-1017 EXL3 EAQ 2.9 bpw with TensorFold on 2× DGX Spark: 63.9 tok/s according to github.com (dataset as of Nov 3, 2026).

by MiaAI-Lab

63.9tok/sEveryday

1 request, prose prompt (temperature 0.7, thinking on), with DSpark (per recipe)

Source: github.com
Intelligence (original model) · Artificial Analysisno independent value

≤ 3 bit: quantization may cost quality

Instructions in the README Repo

Engine

Engine
TensorFold native (Zig 0.17.0), BertholomusAI dsv41 family (bertholomus/TensorFold deepseek-v41-zig @fbbc971) + recipe patches, TP=2 over ConnectX-7 (RoCE), DSpark drafts
Quantization
EXL3 EAQ v1 2.9 bpw (Mia-AiLab; vision tower and DSpark draft blocks included)
Model family
DeepSeek-V4.1-Flash-1017
Context
1,048,576
Parameters
~763B (HF-API safetensors total der Basis deepseek-ai/DeepSeek-V4.1-Flash-1017: 763.205.315.794)
Creator
MiaAI-Lab
GitHub stars
400
Repo updated
Nov 2, 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)63.9 tok/sProsa, Temperatur 0,7, Thinking an (Rezept-Default THINKING=1), 1 Stream, DSpark-Drafts an, sparkDash, beide GPUs 2.200 MHz, Server CONTEXT=524288; TTFT 214 ms. Prosa mit Temperatur 0 und Thinking aus: 80,7 (TTFT 133 ms) Source 
  • Peak (decode)118 tok/sCode, Temperatur 0, Thinking aus, 1 Stream (TTFT 213 ms); aggregiert bei 3 Streams: 171,0 Source 

Prefill by context

  • 32K2,154 tok/s32K-Prompt (32.788 Tokens gezählt), TTFT 15,40 s; 4K 2.105,9 / 128K 2.077,1 / 256K 2.065,0 tok/s; Engram-Tabellen auf lokaler Platte beider Sparks (über NFS ca. 690–890 tok/s) Source 

Time to first token

Shorter is better.

  • Prompt not stated214 msProsa, Temperatur 0,7, Thinking an, 1 Stream (Thinking aus: 133 ms) Source 

What you need

Hardware
2 × NVIDIA DGX Spark (GB10)
Engine
TensorFold native (Zig 0.17.0), BertholomusAI dsv41 family (bertholomus/TensorFold deepseek-v41-zig @fbbc971) + recipe patches, TP=2 over ConnectX-7 (RoCE), DSpark drafts
Context
1,048,576 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.
  • Custom kernel required
  • vision
  • tool-calling

Sources

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