Can I run Qwen2.5-7B-Instruct on an NVIDIA B300?

Yes

Its published weights (15.2 GB) fit in the 259 GB an NVIDIA B300 can use, with room for ≈ 32K tokens of context.

Full analysis of Qwen2.5-7B-Instruct Everything that runs on NVIDIA B300 Get the weights on Hugging Face

hf download Qwen/Qwen2.5-7B-Instruct

Files and context on NVIDIA B300

Each file of Qwen2.5-7B-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.

File	Size	On NVIDIA B300	Context (16-bit)	Context (8-bit)
As published	15.2 GB	Fits	32K	32K
qwen2.5-7b-instruct-fp16Qwen/Qwen2.5-7B-Instruct-GGUF	15.2 GB	Fits	128K	128K
Q8_0Qwen/Qwen2.5-7B-Instruct-GGUF	8.10 GB	Fits	128K	128K
Q6_KQwen/Qwen2.5-7B-Instruct-GGUF	6.25 GB	Fits	128K	128K
Q5_K_MQwen/Qwen2.5-7B-Instruct-GGUF	5.44 GB	Fits	128K	128K
Q5_0Qwen/Qwen2.5-7B-Instruct-GGUF	5.32 GB	Fits	128K	128K
Q4_K_MQwen/Qwen2.5-7B-Instruct-GGUF	4.68 GB	Fits	128K	128K
Q4_0Qwen/Qwen2.5-7B-Instruct-GGUF	4.43 GB	Fits	128K	128K
Q3_K_MQwen/Qwen2.5-7B-Instruct-GGUF	3.81 GB	Fits	128K	128K
Q2_KQwen/Qwen2.5-7B-Instruct-GGUF	3.02 GB	Fits	128K	128K

Qwen2.5-7B-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.