4× RTX PRO 6000
235tok/sEveryday
1 request, prose prompt, context 19, with DSpark (per recipe) Source
Intelligence34with thinking
- Custom kernel required
Local AI · Recipe · 1× RTX PRO 6000
DeepSeek-V4-Flash 284B MXFP4 with vLLM on 1× RTX PRO 6000 (300k context)
by jpezzulli
Intelligence (original model) · Artificial Analysis34with thinkingOriginal model's value. Heavily compressed (~2 bit), intelligence is likely much lower.
≤ 3 bit: quantization may cost quality
Engine
- Engine
- vLLM
- Quantization
- 2-bit W2-Experten (MoET-Planes) + 6 GiB FP4-Korrektur-Tier (512×12 MiB), FP8-MLA-KV; Basis offizielles MXFP4-Checkpoint
- Model family
- DeepSeek-V4-Flash
- Context
- 300,000
- Parameters
- 284B MoE
- Creator
- jpezzulli
- GitHub stars
- 17
- Repo updated
- Aug 19, 2026
Measurements
Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.
No sourced measurements for this recipe.
What you need
- Hardware
- 1 × NVIDIA RTX PRO 6000 Blackwell
- Weights
- Main weightsdeepseek-ai/DeepSeek-V4-Flash-0731 MIT
- Engine
- vLLM
- Context
- 300,000 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.
Sources
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