4× DGX Spark
87.7tok/sEveryday
1 request, prose prompt, with DSpark (per recipe) Source
Intelligence40with thinkingno thinking 25
Local AI · Recipe · 1× DGX Spark
DeepSeek-V4.1-Flash EXL3 1.59 bpw with ExLlamaV3 on 1× DGX Spark
DeepSeek-V4.1-Flash EXL3 1.59 bpw with ExLlamaV3 on 1× DGX Spark: 17.5 tok/s according to github.com (dataset as of Nov 3, 2026).
by vcruz305
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.
Decode · 1 request
Prefill by context
What you need
- Hardware
- 1 × NVIDIA DGX Spark (GB10)
- Weights
- Main weightsvcruz305/DSV4.1-Flash-SAGE-EXL3-1.59bpw MIT
- Basedeepseek-ai/DeepSeek-V4.1-Flash MIT
- 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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