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Can I run Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF on an RTX 5070?

Yes, just

Its IQ2_M file (10.2 GB) fits in the 10.8 GB an RTX 5070 can use, with room for ≈ 6K tokens of context. That file is under 3 bits per weight, so expect noticeably lower quality.

Full analysis of Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF Everything that runs on RTX 5070 Get the IQ2_M file on Hugging Face
ollama run hf.co/DavidAU/Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF:IQ2_M

Files and context on RTX 5070

Each file of Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-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)
Q8_029.0 GBDoesn't fit——
Q6_K22.4 GBDoesn't fit——
Q5_K_M19.5 GBDoesn't fit——
Q4_K_M16.8 GBDoesn't fit——
IQ4_XS15.3 GBDoesn't fit——
IQ3_M12.8 GBDoesn't fit——
IQ2_M10.2 GBTight6K12K

Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-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.