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Can I run Huihui-Qwen3.6-35B-A3B-abliterated-MTP-GGUF on an RTX PRO 6000 Blackwell?

Yes, just

Its F16 file (71.1 GB) fits in the 86.4 GB an RTX PRO 6000 Blackwell can use, with room for ≈ 256K tokens of context.

Full analysis of Huihui-Qwen3.6-35B-A3B-abliterated-MTP-GGUF Everything that runs on RTX PRO 6000 Blackwell 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 RTX PRO 6000 Blackwell

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 RTX PRO 6000 Blackwell Context (16-bit)Context (8-bit)
F1671.1 GBTight256K256K
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 RTX PRO 6000 Blackwell

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.