This is an MoE model with 1.6T-A49B

The weights were up briefly then taken down due to some issues in the repo files apparently, now they're back up:

GGUFs are out as well:

DeepSeek published benchmarks for reference:

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[–] [S] 7 points 1 week ago (1 child)

free to use if you have the hardware. For this model because of its size, the main problem is the hardware availability/cost. But in general there are 3 ways to run an open weights model:

  • pay a provider like DeepSeek/OpenRouter per usage
  • buy hardware that can run it locally: actually not a bad investment for a business
  • rent hardware that can run it from a cloud provider, hardware can be rented dedicated or time-shared (so called serverless).
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  • [–] 1 point 1 week ago (1 child)

    Is there some sort of calculator to help one determine the best model to run?

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  • [+] 2 points 1 week ago (1 child)
  • [–] 2 points 1 week ago (1 child)

    I'm actually curious as to what's the most I can run on an Apple M4 Max system.

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  • [–] 2 points 1 week ago

    If I understand the nature of your hardware correctly, you should be able to run the MoE models like Gemma4 26B-A4B or Qwen3.6 35B-A3B at a high quantization fairly performantly.

    You could try running some of the dense models (like today's Qwen 3.8 27B) as well, but I expect they'll be pretty slow (judging by my own experience with a unified RAM system that has a Strix Halo APU). Might still be useful for tasks that you can leave running on their own for a long time instead of for interactive chat style interaction though.

    You've got enough RAM to load larger models, but there hasn't been much released in between the "it fits on a 24GB or 32GB GPU that a gamer might own" and the "oh god you need HOW MUCH RAM!?" scales lately...

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