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Can I run Huihui-Qwen3.8-Flash-Next-abliterated-GGUF on an RTX 5060 Ti 16 GB?

No

Even its smallest file (IQ2_XS, 68.2 GB) is more than an RTX 5060 Ti 16 GB can hold (14.4 GB usable): it needs 5 of them.

Full analysis of Huihui-Qwen3.8-Flash-Next-abliterated-GGUF Everything that runs on RTX 5060 Ti 16 GB

Files and context on RTX 5060 Ti 16 GB

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 5060 Ti 16 GB 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 GBDoesn't fit——
IQ2_XS68.2 GBDoesn't fit——

Huihui-Qwen3.8-Flash-Next-abliterated-GGUF on other hardware

Popular models that run on RTX 5060 Ti 16 GB

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.