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

Can I run Signal-3.8-27B-GGUF on an RTX 4060?

No

Even its smallest file (IQ3_XXS, 12.2 GB) is more than an RTX 4060 can hold (7.20 GB usable): it needs 2 of them.

Full analysis of Signal-3.8-27B-GGUF Everything that runs on RTX 4060

Files and context on RTX 4060

Each file of Signal-3.8-27B-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 4060 Context (16-bit)Context (8-bit)
Q8_029.0 GBDoesn't fit——
Q6_K22.4 GBDoesn't fit——
Q5_K_M19.5 GBDoesn't fit——
Q4_K_XL17.6 GBDoesn't fit——
Q4_K_M17.0 GBDoesn't fit——
Q3_K_XL15.1 GBDoesn't fit——
IQ4_XS14.3 GBDoesn't fit——
IQ3_S13.3 GBDoesn't fit——
IQ3_XXS12.2 GBDoesn't fit——

Signal-3.8-27B-GGUF on other hardware

Popular models that run on RTX 4060

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.