DeepSeek V4 Pro 0813 Weights Released!
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:
https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813Open linkView original on programming.dev
10 replies
Are these free to use, or do you have to pay?
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:
Is there some sort of calculator to help one determine the best model to run?
I'm actually curious as to what's the most I can run on an Apple M4 Max system.
How much RAM do you have?
96gb
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
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.
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...
Asking chatgpt Claude or any other llm usually is a good starting point