4× DGX Spark
87.7tok/sEveryday
1 request, prose prompt, with DSpark (per recipe) Source
Intelligence40with thinkingno thinking 25
Local AI · Recipe · 2× DGX Spark
DeepSeek-V4.1-Flash 763B EXL3 2.9 bpw with vLLM on 2× DGX Spark
DeepSeek-V4.1-Flash 763B EXL3 2.9 bpw with vLLM on 2× DGX Spark: 31.6 tok/s according to github.com (dataset as of Nov 3, 2026).
by drowzeys
Intelligence (original model) · Artificial Analysis40with thinkingno thinking 25
≤ 3 bit: quantization may cost quality
Engine
- Engine
- vLLM
- Quantization
- EXL3 mul1 2.9 bpw (per-tensor K), fp8_ds_mla KV
- Model family
- DeepSeek-V4.1-Flash
- Context
- 600,000
- Parameters
- 763B MoE
- Creator
- drowzeys
- GitHub stars
- 0
- Repo updated
- Sep 14, 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
Prefill by context
Time to first token
Shorter is better.
What you need
- Hardware
- 2 × NVIDIA DGX Spark (GB10)
- Weights
- Main weightsMia-AiLab/DeepSeek-V4.1-Flash-EXL3-2.9bpw MIT
- otherdeepseek-ai/DeepSeek-V4.1-Flash MIT
- Engine
- vLLM
- 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.
- Fork
- Custom kernel required
Sources
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