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 284B UD-IQ2_M with llama.cpp on 4× RTX 3090
by alesha-pro
Intelligence (original model) · Artificial Analysis34with thinking
≤ 3 bit: quantization may cost quality
Engine
- Engine
- llama.cpp ds4-longctx @b001c8cd73 (2026-08-07)
- Quantization
- Unsloth UD-IQ2_M GGUF (2.56 bpw, 91 GB), fp8-KV-Kernel
- Model family
- DeepSeek-V4-Flash
- Context
- 131,072
- Parameters
- 284B MoE
- 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 weightsunsloth/DeepSeek-V4-Flash-0731-GGUF MIT
- Engine
- llama.cpp ds4-longctx @b001c8cd73 (2026-08-07)
- Context
- 131,072 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
- github.com/alesha-pro/llama.cpp/blob/ds4-longctx/README.md
- github.com/alesha-pro/llama.cpp/blob/ds4-longctx/README.md#2026-08-06-decode-night--393--445-ts-13-prefill-untouched
- github.com/alesha-pro/llama.cpp/blob/ds4-longctx/DS4HANDOFF.md
- github.com/alesha-pro/llama.cpp/blob/ds4-longctx/scripts/ds4-prod-serve.sh
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