Can I run Huihui-Qwen3.8-Flash-Next-abliterated-GGUF on an NVIDIA B200?

Yes

Its UD-Q4_K_XL file (111 GB) fits in the 162 GB an NVIDIA B200 can use, with room for ≈ 256K tokens of context.

Full analysis of Huihui-Qwen3.8-Flash-Next-abliterated-GGUF Everything that runs on NVIDIA B200 Get the UD-Q4_K_XL file on Hugging Face

llama-server -hf huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated-GGUF:UD-Q4_K_XL

Files and context on NVIDIA B200

Each file of Huihui-Qwen3.8-Flash-Next-abliterated-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)
BF16	354 GB	Doesn't fit	—	—
Q8_0	188 GB	Doesn't fit	—	—
UD-Q4_K_XL	111 GB	Fits	256K	256K
UD-IQ4_XS	93.7 GB	Fits	256K	256K
IQ3_XXS	76.0 GB	Fits	256K	256K
IQ2_XS	68.2 GB	Fits	256K	256K

Huihui-Qwen3.8-Flash-Next-abliterated-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.