Can I run Qwen3.8-27B-Heretic-GSQ-RCO-GGUF on an NVIDIA B200?

Yes

Its IQ3_S file (12.2 GB) fits in the 162 GB an NVIDIA B200 can use, with room for ≈ 256K tokens of context.

Full analysis of Qwen3.8-27B-Heretic-GSQ-RCO-GGUF Everything that runs on NVIDIA B200 Get the IQ3_S file on Hugging Face

ollama run hf.co/0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF:IQ3_S

Files and context on NVIDIA B200

Each file of Qwen3.8-27B-Heretic-GSQ-RCO-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.

File	Size	On NVIDIA B200	Context (16-bit)	Context (8-bit)
IQ3_S	12.2 GB	Fits	256K	256K
RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_S	11.8 GB	Fits	256K	256K
IQ3_XXS	10.6 GB	Fits	256K	256K
RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ3_XXS	10.1 GB	Fits	256K	256K
IQ2_S	9.73 GB	Fits	256K	256K
RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ2_S	9.28 GB	Fits	256K	256K
IQ2_XS	8.90 GB	Fits	256K	256K
RVN-Qwen3.8-27B-Heretic-GSQ-RCO-IQ2_XS	8.45 GB	Fits	256K	256K

Qwen3.8-27B-Heretic-GSQ-RCO-GGUF on other hardware

Popular models that run on NVIDIA B200

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.