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

Can I run Qwen3-VL-30B-A3B-Instruct-GGUF on an NVIDIA H100?

Yes, just

Its F16 file (61.1 GB) fits in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 108K tokens of context.

Full analysis of Qwen3-VL-30B-A3B-Instruct-GGUF Everything that runs on NVIDIA H100 Get the F16 file on Hugging Face
llama-server -hf Qwen/Qwen3-VL-30B-A3B-Instruct-GGUF:F16

Files and context on NVIDIA H100

Each file of Qwen3-VL-30B-A3B-Instruct-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 NVIDIA H100 Context (16-bit)Context (8-bit)
F1661.1 GBTight108K217K
Q8_032.5 GBFits256K256K
Q4_K_M18.6 GBFits256K256K

Qwen3-VL-30B-A3B-Instruct-GGUF on other hardware

Popular models that run on NVIDIA H100

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.