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Can I run Huihui-Qwen3.6-35B-A3B-abliterated-MTP-GGUF on an NVIDIA B200?

Yes

Its F16 file (71.1 GB) fits in the 162 GB an NVIDIA B200 can use, with room for ≈ 256K tokens of context.

Full analysis of Huihui-Qwen3.6-35B-A3B-abliterated-MTP-GGUF Everything that runs on NVIDIA B200 Get the F16 file on Hugging Face
ollama run hf.co/huihui-ai/Huihui-Qwen3.6-35B-A3B-abliterated-MTP-GGUF:F16

Files and context on NVIDIA B200

Each file of Huihui-Qwen3.6-35B-A3B-abliterated-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 NVIDIA B200 Context (16-bit)Context (8-bit)
F1671.1 GBFits256K256K
Q8_037.8 GBFits256K256K
Q6_K29.2 GBFits256K256K
Q5_K25.3 GBFits256K256K
Q4_K21.7 GBFits256K256K
Huihui-Qwen3.6-35B-A3B-abliterated-patch-all-019.9 GBFits256K256K
Huihui-Qwen3.6-35B-A3B-abliterated-patch-all-217.7 GBFits256K256K
Huihui-Qwen3.6-35B-A3B-abliterated-patch-all-317.7 GBFits256K256K
Huihui-Qwen3.6-35B-A3B-abliterated-patch-all-117.7 GBFits256K256K
Q3_K17.2 GBFits256K256K
Huihui-Qwen3.6-35B-A3B-abliterated-patch-all-414.0 GBFits256K256K
Q2_K13.2 GBFits256K256K

Huihui-Qwen3.6-35B-A3B-abliterated-MTP-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.