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Can I run Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF on an RTX 6000 Ada?

Yes

Its Q8_0 file (30.2 GB) fits in the 43.2 GB an RTX 6000 Ada can use, with room for ≈ 191K tokens of context.

Full analysis of Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF Everything that runs on RTX 6000 Ada Get the Q8_0 file on Hugging Face
ollama run hf.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q8_0

Files and context on RTX 6000 Ada

Each file of Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-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 6000 Ada Context (16-bit)Context (8-bit)
Q8_030.2 GBFits191K256K
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-Q8_029.8 GBFits198K256K
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-MTP-Q6_K24.0 GBFits256K256K
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-Q6_K23.6 GBFits256K256K
Q6_K22.4 GBFits256K256K
Q5_K_M21.2 GBFits256K256K
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-Q5_K_M20.7 GBFits256K256K
Q5_K_S20.6 GBFits256K256K
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-Q5_K_S20.2 GBFits256K256K
Q4_K_M18.5 GBFits256K256K
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-Q4_K_M18.0 GBFits256K256K
Q4_K_S17.5 GBFits256K256K
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-Q4_K_S17.1 GBFits256K256K
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-MTP-IQ4_XS17.0 GBFits256K256K
IQ4_XS16.6 GBFits256K256K
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-LOW-MTP-IQ4_XS15.3 GBFits256K256K
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-MTP-IQ3_M14.5 GBFits256K256K
IQ3_M14.1 GBFits256K256K
Qwen3.8-27B-TurboFCFusion-735-882-Here-Uncen-NEO-CODER-MAX-MTP-IQ2_M12.1 GBFits256K256K
IQ2_M11.7 GBFits256K256K

Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF on other hardware

Popular models that run on RTX 6000 Ada

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.