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:
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:
How much RAM do you have?
96gb
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…
With Q4 everything below 150B should be fine. You can also run the -Flash variant of this model in Q1, but it is probably not usable.
You might want to try running Ling-3.0-Flash (124B-A5.1B) it might be perfect for your M4 and should perform close to the level of DeepSeek V4 Flash preview or MiniMax M2.7