Model Anatomy See what's inside open-weight AI models

Can I run Huihui-Qwen3.8-Flash-Next-abliterated-GGUF on an RTX PRO 6000 Blackwell?

Yes, just

Its IQ3_XXS file (76.0 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-Qwen3.8-Flash-Next-abliterated-GGUF Everything that runs on RTX PRO 6000 Blackwell Get the IQ3_XXS file on Hugging Face
llama-server -hf huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated-GGUF:IQ3_XXS

Files and context on RTX PRO 6000 Blackwell

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.

FileSizeOn RTX PRO 6000 Blackwell Context (16-bit)Context (8-bit)
BF16354 GBDoesn't fit——
Q8_0188 GBDoesn't fit——
UD-Q4_K_XL111 GBDoesn't fit——
UD-IQ4_XS93.7 GBDoesn't fit——
IQ3_XXS76.0 GBTight256K256K
IQ2_XS68.2 GBFits256K256K

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