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

Can I run Qwen3.8-27B-SLQ-GGUF on an RTX 5090?

Yes, just

Its Q6_K file (23.7 GB) fits in the 28.8 GB an RTX 5090 can use, with room for ≈ 74K tokens of context.

Full analysis of Qwen3.8-27B-SLQ-GGUF Everything that runs on RTX 5090 Get the Q6_K file on Hugging Face
ollama run hf.co/kaitchup/Qwen3.8-27B-SLQ-GGUF:Q6_K

Files and context on RTX 5090

Each file of Qwen3.8-27B-SLQ-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 5090 Context (16-bit)Context (8-bit)
Q6_K23.7 GBTight74K147K
Q5_K_M20.7 GBFits118K237K
Q5_K_S18.9 GBFits146K256K

Qwen3.8-27B-SLQ-GGUF on other hardware

Popular models that run on RTX 5090

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.