Local AI · Recipe · 2× DGX Spark

DeepSeek-V4.1-Flash 763B EXL3 2.9 bpw with ExLlamaV3 on 2× DGX Spark

DeepSeek-V4.1-Flash 763B EXL3 2.9 bpw with ExLlamaV3 on 2× DGX Spark: 31.6 tok/s according to github.com (dataset as of Nov 3, 2026).

by MiaAI-Lab

31.6tok/sEveryday

1 request, prose prompt, with DSpark (per recipe)

Source: github.com
Intelligence (original model) · Artificial Analysis40with thinkingno thinking 25

≤ 3 bit: quantization may cost quality

Engine

Engine
vLLM + ExLlamaV3
Quantization
EXL3 2.9 bpw + fp8_ds_mla KV
Model family
DeepSeek-V4.1-Flash
Context
600,000
Parameters
~763B (HF safetensors der Basis)
Creator
MiaAI-Lab
GitHub stars
242
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

  • Everyday (decode)31.6 tok/s400-tok prose, temp 0, thinking off, TTFT 221 ms Source 
  • Peak (decode)31.6 tok/s400-tok prose, temp 0, thinking off, TTFT 221 ms Source 

Prefill by context

What you need

Hardware
2 × NVIDIA DGX Spark (GB10)
Engine
vLLM + ExLlamaV3
Context
600,000 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
  • Custom kernel required

Sources

Related recipes

8× DGX Spark
74tok/sEveryday

1 request, generation at 32K context (speed table, ring of eight), thinking on, high, with DSpark (per recipe); experimental profile Source 

  • Custom kernel required
  • Experimental

Stock-Checkpoint FP8/MXFP4 (DeepSeek)vLLM (local-inference-lab Fork) via SparkRing (SIRCL-Collectives, switchless RDMA ueber ConnectX-7), Image Release 2026.10.2Weights Repo Updated Nov 2, 2026

Details

← Back to overview

Local AI in your company?

In a workshop we work out which models and which hardware fit your tasks, and build the first agent on your infrastructure.