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Local AI · Recipe · 2× DGX Spark

DeepSeek-V4.1-Flash-1017 EXL3 2.5 bpw with TensorFold on 2× DGX Spark

DeepSeek-V4.1-Flash-1017 EXL3 2.5 bpw with TensorFold on 2× DGX Spark: 60.5 tok/s according to github.com (dataset as of Nov 3, 2026).

by bertholomus

60.5tok/sEveryday

1 request, prose prompt (greedy, thinking off), 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, TensorFold 1.0.12), BertholomusAI dsv41 family (bertholomus/TensorFold deepseek-v41-zig-tp2, recipe v0.7.3, served engine 6579b756dcd7) + kernel kit v0.7.0, TP=2 über RoCE, DSpark drafts
Quantization
EXL3 2.5 bpw routed experts (2,52 bpw über die quantisierten Gewichte, ~185 GB; Attention/Shared Experts 4 bpw, DSpark-Drafter 4/6 bpw, Vision-Tower 16 bit)
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
bertholomus
GitHub stars
60
Repo updated
Oct 24, 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)60.5 tok/sProsa (kit_bench Set a: Essay über die Geschichte der Leuchttürme), 512 Tokens, Median aus 3, greedy, Thinking aus, DSpark-Drafts, Rezept v0.7.3 (8 Streams, Fenster 2.097.152 Positionen); Set b (400-Wörter-Essay, 384 Tokens): 67,5 Source 
  • Peak (decode)160 tok/sSet b „structured“ = Zählen 1–200 (384 Tokens), Median aus 3, greedy, DSpark; Code Set b 112,7 / Set a 106,0; Aggregat 8 Streams über 90 s: 168,3 Source 

Prefill by context

  • 93.3352,364 tok/sKalter 93.335-Token-Prompt (cached 0), Median aus 3, Bench des Served-Ports nach der Promotion; 8K/32K/64K/128K: 2.439 / 2.568 / 2.550 / 2.523 tok/s Source 

What you need

Hardware
2 × NVIDIA DGX Spark (GB10)
Engine
TensorFold native (Zig, TensorFold 1.0.12), BertholomusAI dsv41 family (bertholomus/TensorFold deepseek-v41-zig-tp2, recipe v0.7.3, served engine 6579b756dcd7) + kernel kit v0.7.0, TP=2 über 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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