Can I run GPT-X3-150M on an RTX PRO 6000 Blackwell?

Yes

Its published weights (598 MB) fit in the 86.4 GB an RTX PRO 6000 Blackwell can use, with room for an unknown amount of context.

Full analysis of GPT-X3-150M Everything that runs on RTX PRO 6000 Blackwell Get the weights on Hugging Face

hf download AxiomicLabs/GPT-X3-150M

Files and context on RTX PRO 6000 Blackwell

Each file of GPT-X3-150M (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)
As published	598 MB	Fits	not known	not known
4-bit (estimate)	84.0 MB	Fits	not known	not known

GPT-X3-150M on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5060 Ti 16 GBYes
RTX 3060 12 GBYes
RTX 4060Yes
RTX PRO 6000 BlackwellYes
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on RTX PRO 6000 Blackwell

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Qwen3-VL-8B-InstructQwen · 8.77B
gpt2openai-community · 137M
Qwen3-8BQwen · 8.19B
Qwen3-Coder-30B-A3B-Instruct-GGUFunsloth · 30.5B
gemma-4-26B-A4B-itgoogle · 25.8B
Qwen2.5-7B-InstructQwen · 7.62B
Qwen3.5-9BQwen · 9.65B

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.