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 · 4× RTX 3090
DeepSeek-V4-Flash 180.4B Q3_K with llama.cpp on 4× RTX 3090
by alesha-pro
Intelligence (original model) · Artificial Analysisno independent value
≤ 3 bit: quantization may cost quality
Engine
- Engine
- llama.cpp ds4-longctx @b001c8cd73
- Quantization
- GGUF Experten Q3_K/Q4_K (down Q4_K), Attention/Shared/Indexer/Output Q8_0, APE F32; 89.9 GB, 3.99 bpw
- Model family
- DeepSeek-V4-Flash
- Context
- 262,144
- Parameters
- 180.4B MoE (REAP, 160/256 Experten)
- Creator
- alesha-pro
- Repo updated
- Aug 7, 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
- 4 × NVIDIA RTX 3090
- Weights
- Main weightsanonymousmaharaj/DeepSeek-V4-Flash-0731-REAP-K160-GGUF MIT
- source0xSero/DeepSeek-V4-Flash-0731-REAP MIT
- Engine
- llama.cpp ds4-longctx @b001c8cd73
- Context
- 262,144 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
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