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DeepSeek-V4-Flash-0731 VRAM requirements debated on Reddit

By PulseAugur Editorial · [1 sources] ·

A user on the r/LocalLLaMA subreddit is inquiring about the minimum VRAM requirements to run the DeepSeek-V4-Flash-0731 model. They are specifically interested in the Q4_K_XL quantization and are hoping for manageable VRAM needs due to the model's active parameter count. The user is seeking feedback from others who may have tested this model on GPUs with up to 48GB of VRAM. AI

IMPACT Determines hardware needs for running advanced AI models locally.

RANK_REASON User inquiry about hardware requirements for running a specific AI model.

Read on r/LocalLLaMA →

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

DeepSeek-V4-Flash-0731 VRAM requirements debated on Reddit

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Composite score across the factors below. Higher = stronger signal that this story matters right now.
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User inquiry about hardware requirements for running a specific AI model.
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High
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86 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Informal-Trouble2183 ·

    Minimum VRAM GPU to run DeepSeek-V4-Flash-0731 Q4_K_XL at around 30 t/s ?

    <!-- SC_OFF --><div class="md"><p>Hello guys,</p> <p>I'm curious about running <strong>DeepSeek-V4-Flash-0731</strong> locally. Since it’s a Mixture of Experts (MoE) model with only 13B active parameters, I was hoping the VRAM requirements might be manageable.</p> <p>Did someone …

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