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DeepSeek V4 Flash runs 1M context locally on RTX 5090 with llamacpp patch

By PulseAugur Editorial · [1 sources] ·

A user has developed a patch for the llamacpp library that enables the DeepSeek V4 Flash model to run with a 1 million token context window locally on an RTX 5090 graphics card. This modification addresses issues with the model's indexing and implements a CUDA kernel, significantly reducing VRAM requirements from an estimated 256GB to approximately 3.75GB for the 1M context. The patch has been verified for correctness with a needle-in-a-haystack test and offers improved prefill speeds. AI

IMPACT Enables local execution of large-context models on consumer hardware, potentially broadening access and use cases for advanced AI.

RANK_REASON User-developed patch for an existing tool (llamacpp) to run a specific model (DeepSeek V4) with enhanced capabilities (1M context locally).

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DeepSeek V4 Flash runs 1M context locally on RTX 5090 with llamacpp patch

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-developed patch for an existing tool (llamacpp) to run a specific model (DeepSeek V4) with enhanced capabilities (1M context locally).
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
65 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/da_dragon321 ·

    llamacpp patch - DeepSeek V4 Flash running with full 1M token context locally on RTX 5090

    <!-- SC_OFF --><div class="md"><p>Wanted to try running DeepSeek V4 Flash locally but found it asking for absurd amounts of VRAM at higher context lengths (~256GB at 1M). Turned out the DSA lightning indexer lacks proper llamacpp support. Did a bit of digging and there's an upstr…

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