Local AI · Recipe · 2× RTX 3090

DeepSeek-V4-Flash 284B with llama.cpp on 2× RTX 3090

by noonghunna

21.9tok/sEveryday

1 request, prose prompt, no speculative decoding

Source: github.com
Intelligence (original model) · Artificial Analysis34with thinking

Engine

Engine
llama.cpp (club3090 build)
Quantization
GGUF Q8-moecache, Experten im RAM
Model family
DeepSeek-V4-Flash
Context
200,000
Parameters
284B MoE
Creator
noonghunna
GitHub stars
2,288
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.

No sourced measurements for this recipe.

What you need

Hardware
2 × NVIDIA RTX 3090
Engine
llama.cpp (club3090 build)
Context
200,000 tokens

Notes

What matters before you rebuild it.

  • Partly in system RAM
  • Experimental

Sources

Related recipes

1× DGX Spark
19.5tok/sEveryday

1 request, prose prompt, context 4096, no speculative decoding Source 

Intelligence34with thinkingOriginal model's value. Heavily compressed (~2.1 bit), intelligence is likely much lower.
  • ≤ 3 bit: quantization may cost quality

IQ2_XXS gate/up + Q2_K down (routed, imatrix), Q8 Attn/Shared/OutDwarfStar (ds4) main@0aaea5a (2026-09-20)Weights Repo Updated Sep 20, 2026

Details

← Back to overview

Local AI in your company?

In a workshop we work out which models and which hardware fit your tasks, and build the first agent on your infrastructure.