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

Can I run Qwen3-VL-2B-Instruct-GGUF on an RTX 5070?

Yes

Its F16 file (3.45 GB) fits in the 10.8 GB an RTX 5070 can use, with room for ≈ 63K tokens of context.

Full analysis of Qwen3-VL-2B-Instruct-GGUF Everything that runs on RTX 5070 Get the F16 file on Hugging Face
ollama run hf.co/Qwen/Qwen3-VL-2B-Instruct-GGUF:F16

Files and context on RTX 5070

Each file of Qwen3-VL-2B-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 RTX 5070 Context (16-bit)Context (8-bit)
F163.45 GBFits63K125K
Q8_01.83 GBFits76K153K
Q4_K_M1.11 GBFits83K165K

Qwen3-VL-2B-Instruct-GGUF on other hardware

Popular models that run on RTX 5070

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.