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

Can I run Ornith-1.5-35B-A3B on an RTX 5060 Ti 16 GB?

No

Even its smallest file (4-bit (estimate), 20.2 GB) is more than an RTX 5060 Ti 16 GB can hold (14.4 GB usable): it needs 2 of them.

Full analysis of Ornith-1.5-35B-A3B Everything that runs on RTX 5060 Ti 16 GB

Files and context on RTX 5060 Ti 16 GB

Each file of Ornith-1.5-35B-A3B (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)
As published71.9 GBDoesn't fit——
BF16ornith-ai/Ornith-1.5-35B-A3B-GGUF71.1 GBDoesn't fit——
Q8_0ornith-ai/Ornith-1.5-35B-A3B-GGUF37.8 GBDoesn't fit——
Q6_Kornith-ai/Ornith-1.5-35B-A3B-GGUF29.2 GBDoesn't fit——
Q5_K_Mornith-ai/Ornith-1.5-35B-A3B-GGUF25.3 GBDoesn't fit——
Q4_K_Mornith-ai/Ornith-1.5-35B-A3B-GGUF21.7 GBDoesn't fit——

Ornith-1.5-35B-A3B 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.