Can I run ThinkingCap-Qwen3.8-27B-GGUF on an NVIDIA H200?

Yes

Its F16 file (54.7 GB) fits in the 127 GB an NVIDIA H200 can use, with room for ≈ 256K tokens of context.

Full analysis of ThinkingCap-Qwen3.8-27B-GGUF Everything that runs on NVIDIA H200 Get the F16 file on Hugging Face

ollama run hf.co/bottlecapai/ThinkingCap-Qwen3.8-27B-GGUF:F16

Files and context on NVIDIA H200

Each file of ThinkingCap-Qwen3.8-27B-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 H200	Context (16-bit)	Context (8-bit)
F16	54.7 GB	Fits	256K	256K
Q8_0	29.0 GB	Fits	256K	256K
Q6_K	23.9 GB	Fits	256K	256K
Q4_K_M	17.4 GB	Fits	256K	256K
IQ4_XS	15.5 GB	Fits	256K	256K

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

Popular models that run on NVIDIA H200

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.