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hacklas

HN member
Joined
Tue, Jun 10, 2025, 2:28 PM UTC
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4 items

About hacklas

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Recent public activity

  1. comment
    Comment #49101081

    For a dense model this would be a limitation, but not all of a MoE model needs to be in memory, but the largest part of a MoE are the routed experts. Some parts are needed to gener…

  2. comment
    Comment #49100762

    Worth mentioning why this is harder than it looks. There is a different set of experts at every layer, and each layer has a small router that decides which ones to use. The router …

  3. comment
    Comment #49100221

    How large? With 64 GB of unified memory, you should be able to run a DeepSeek V4 Flash quantisation at 7–10 t/s, for example with: https://github.com/antirez/ds4 or https://github.…

  4. comment
    Comment #44237342

    The Deepseek V3 is a model with 671 billion parameters, of which 37 billion are active. Magistral Small is a 24 billion parameter model. Pretty impressive in terms of efficiency fo…