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

Can I run Llama-3.2-1B-Instruct on an NVIDIA B300?

Yes

Its published weights (2.47 GB) fit in the 259 GB an NVIDIA B300 can use, with room for ≈ 128K tokens of context.

Full analysis of Llama-3.2-1B-Instruct Everything that runs on NVIDIA B300 Get the weights on Hugging Face
hf download unsloth/Llama-3.2-1B-Instruct

Files and context on NVIDIA B300

Each file of Llama-3.2-1B-Instruct (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 NVIDIA B300 Context (16-bit)Context (8-bit)
As published2.47 GBFits128K128K
4-bit (estimate)695 MBFits128K128K

Llama-3.2-1B-Instruct on other hardware

Popular models that run on NVIDIA B300

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.