Model Anatomy See what's inside open-weight AI models

Can I run d1-3B-GGUF on an RTX PRO 6000 Blackwell?

Yes

Its BF16 file (5.40 GB) fits in the 86.4 GB an RTX PRO 6000 Blackwell can use, with room for ≈ 32K tokens of context.

Full analysis of d1-3B-GGUF Everything that runs on RTX PRO 6000 Blackwell Get the BF16 file on Hugging Face
ollama run hf.co/LiquidAI/d1-3B-GGUF:BF16

Files and context on RTX PRO 6000 Blackwell

Each file of d1-3B-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.

FileSizeOn RTX PRO 6000 Blackwell Context (16-bit)Context (8-bit)
BF165.40 GBFits32K32K
F165.40 GBFits32K32K
Q8_02.87 GBFits32K32K
Q4_K_M1.67 GBFits32K32K

d1-3B-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.