Can I run Mellum2.1-12B-A2.5B-Thinking-GGUF on an RTX PRO 6000 Blackwell?

Yes

Its Mellum2.1-12B-A2.5B-Thinking-MTP-BF16 file (25.2 GB) fits in the 86.4 GB an RTX PRO 6000 Blackwell can use, with room for ≈ 128K tokens of context.

Full analysis of Mellum2.1-12B-A2.5B-Thinking-GGUF Everything that runs on RTX PRO 6000 Blackwell Get the Mellum2.1-12B-A2.5B-Thinking-MTP-BF16 file on Hugging Face

ollama run hf.co/JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF

Files and context on RTX PRO 6000 Blackwell

Each file of Mellum2.1-12B-A2.5B-Thinking-GGUF (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

File	Size	On RTX PRO 6000 Blackwell	Context (16-bit)	Context (8-bit)
Mellum2.1-12B-A2.5B-Thinking-MTP-BF16	25.2 GB	Fits	128K	128K
BF16	24.3 GB	Fits	128K	128K
Mellum2.1-12B-A2.5B-Thinking-MTP-Q8_0	13.4 GB	Fits	128K	128K
Q8_0	12.9 GB	Fits	128K	128K
Mellum2.1-12B-A2.5B-Thinking-MTP-Q6_K	11.3 GB	Fits	128K	128K
Q6_K	10.9 GB	Fits	128K	128K
Mellum2.1-12B-A2.5B-Thinking-MTP-Q4_K_M	8.33 GB	Fits	128K	128K
Q4_K_M	8.07 GB	Fits	128K	128K
Mellum2.1-12B-A2.5B-Thinking-MTP-MXFP4_MOE	7.27 GB	Fits	128K	128K
MXFP4_MOE	7.03 GB	Fits	128K	128K

Mellum2.1-12B-A2.5B-Thinking-GGUF on other hardware

Popular models that run on RTX PRO 6000 Blackwell

Assumes 90% of the card's memory is usable and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.