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DeepSeek V4 Flash model runs detailed on consumer GPUs

By PulseAugur Editorial · [2 sources] ·

Users on Reddit's r/LocalLLaMA community are sharing their experiences running the DeepSeek V4 Flash model with various hardware configurations. One user detailed a setup using 16 NVIDIA RTX 5060 Ti GPUs across two PLX88096 switches, achieving 500k context with tensor parallel 8 and pipeline parallel 2, or a full 1M context with tensor parallel 4 and pipeline parallel 4. Another user described running the DeepSeek V4 Flash Q4_K_XL variant on four RTX 3060 12GB cards, managing a 360k-376k context window and achieving approximately 100 tokens/s for prompt processing. AI

IMPACT Demonstrates advanced techniques for optimizing large model inference on consumer-grade hardware, potentially lowering barriers to entry for researchers and enthusiasts.

RANK_REASON User-shared configurations for running a specific LLM on consumer hardware.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

DeepSeek V4 Flash model runs detailed on consumer GPUs

COVERAGE [2]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Primary_Exchange21 ·

    The boring way to run Deepseek V4 Flash-0731 130-150 tks - 16x5060ti 16GB over 2 PLX88096 switches

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vthcwk/the_boring_way_to_run_deepseek_v4_flash0731/"> <img alt="The boring way to run Deepseek V4 Flash-0731 130-150 tks - 16x5060ti 16GB over 2 PLX88096 switches" src="https://preview.redd.it/ux4fggheqikh1.p…

  2. r/LocalLLaMA TIER_1 English(EN) · /u/syscomua ·

    Running DeepSeek V4 Flash Q4_K_XL at ~100 tok/s prompt processing on 4× RTX 3060 12GB

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vrqf4f/running_deepseek_v4_flash_q4_k_xl_at_100_toks/"> <img alt="Running DeepSeek V4 Flash Q4_K_XL at ~100 tok/s prompt processing on 4× RTX 3060 12GB" src="https://preview.redd.it/lav8jwie65kh1.jpeg?width=6…

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