• levzzz@lemmy.world
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      3 天前

      You need a pretty large context window to fit all the reasoning, ollama forces 2048 by default and more uses more memory

    • Viri4thus@feddit.org
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      3 天前

      I also have a 3060, can you detail which framework (sglang, ollama, etc) you are using and how you got that speed? i’m having trouble reaching that level of performance. Thx

      • The Hobbyist@lemmy.zip
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        3 天前

        Ollama, latest version. I have it setup with Open-WebUI (though that shouldn’t matter). The 14B is around 9GB, which easily fits in the 12GB.

        I’m repeating the 28 t/s from memory, but even if I’m wrong it’s easily above 20.

        Specifically, I’m running this model: https://ollama.com/library/deepseek-r1:14b-qwen-distill-q4_K_M

        Edit: I confirmed I do get 27.9 t/s, using default ollama settings.

        • Viri4thus@feddit.org
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          3 天前

          Ty. I’ll try ollama with the Q-4-M quantization. I wouldn’t expect to see a difference between ollama and SGlang.

        • Jeena@piefed.jeena.net
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          3 天前

          Thanks for the additional information, that helped me to decide to get the 3060 12G instead of the 4060 8G. They have almost the same price but from what I gather when it comes to my use cases the 3060 12G seems to fit better even though it is a generation older. The memory bus is wider and it has more VRAM. Both video editing and the smaller LLMs should be working well enough.