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

Can I run Ornith-1.5-35B-A3B on a Mac with 48 GB?

Yes, with a GGUF version

The published weights are too big, but the Q6_K file from ornith-ai/Ornith-1.5-35B-A3B-GGUF (29.2 GB) fits, with room for ≈ 256K tokens of context.

Full analysis of Ornith-1.5-35B-A3B Everything that runs on Mac with 48 GB Get the Q6_K file on Hugging Face
ollama run hf.co/ornith-ai/Ornith-1.5-35B-A3B-GGUF:Q6_K

Files and context on Mac with 48 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 Mac with 48 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 GBTight256K256K
Q5_K_Mornith-ai/Ornith-1.5-35B-A3B-GGUF25.3 GBFits256K256K
Q4_K_Mornith-ai/Ornith-1.5-35B-A3B-GGUF21.7 GBFits256K256K

Ornith-1.5-35B-A3B on other hardware

Popular models that run on Mac with 48 GB

Assumes 75% of the Mac's memory is usable (macOS's default limit for the GPU; it can be raised) 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.