DeepSeek-V4-Flash-Vision-Exp (285B MoE) on 10-12x RTX 3090 — spec decoding, vision
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
Running the full deepseek-ai/DeepSeek-V4-Flash-Vision-Exp
on consumer Ampere — 10-12x RTX 3090, SM86-compatible vLLM build.
285B MoE, FP4 experts + FP8 attention, 157 GB weights.
Highlights:
- **60+ tok/s** decode, DSpark spec (k=3)
on 10 GPUs (TP2xPP5), at a 240 W cap
- **120+ tok/s** on 12 GPUs (TP4xPP3)
- **Vision + spec + tool calls all working**
- **1M context** (no offload) / **4M** (RAM offload)
- ~3,500 tok/s long-context prefill
Fully documented + reproducible:
- Pre-built image:
`docker pull ghcr.io/ciprianveg/3090-vllm:dsv4-flash-vision-sm86`
- Repo: https://github.com/ciprianveg/3090-vllm
(build guide, start scripts, runtime patches)
The patches cover the DSpark propose-gate (spec + vision fix),
scheduler mm x spec row-crossing, grammar-bitmask validation,
vision ViT OOM fix, FlashInfer workspace-lane keying, and more.
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