Ornith · 125.09B
Can you run Ornith 1.5 122B locally?
Ornith 1.5 122B is a 125.09B-parameter model. At 4-bit or better it runs on 19 of the 120 hardware configurations listed here; the smallest is the RTX PRO 6000 Blackwell (96 GB). On a 128 GB DGX Spark it runs at Q4_K_M.
Data as of 2 November 2026
Fastest machines for Ornith 1.5 122B
Every machine that runs it, fastest first. Filter by type; your machine is marked. Compare machines running it side by side
- 1RTX PRO 6000 BlackwellGraphics card · 96 GB~170 tok/s ModelFit est.Q4_K_M · 79 of 95 GB
- 22x RTX PRO 6000 BlackwellGraphics card · 192 GB~162 tok/s ModelFit est.Q4_K_M · 79 of 190 GB
- 3M5 UltraMac · 256–512 GB · 3 variants~107 tok/s ModelFit est.Q4_K_M · 79 GB
- 4M3 UltraMac · 256–512 GB · 3 variants~73 tok/s ModelFit est.Q4_K_M · 79 GB
- 5M2 UltraMac · 128–192 GB · 4 variants~66 tok/s ModelFit est.Q4_K_M · 79 GB
- 6M5 Max · 128 GB · 40cMac · 128 GB~63 tok/s ModelFit est.Q4_K_M · 79 of 96 GB
- 7M1 UltraMac · 128 GB · 2 variants~59 tok/s ModelFit est.Q4_K_M · 79 GB
- 8M4 Max · 128 GB · 40cMac · 128 GB~53 tok/s ModelFit est.Q4_K_M · 79 of 96 GB
- 9M3 Max · 128 GB · 40cMac · 128 GB~41 tok/s ModelFit est.Q4_K_M · 79 of 96 GB
- 10Ryzen AI Max+ 395 · 128 GBAI mini PC · 128 GB~24 tok/s ModelFit est.Q4_K_M · 79 of 96 GB
- 11DGX Spark (GB10)AI mini PC · 128 GBno estimateQ4_K_M · 79 of 122 GB
Too big for 101 machines
M5 Ultra · 96 GB · 80c, M5 Ultra · 96 GB · 64c, M3 Ultra · 96 GB · 80c, M3 Ultra · 96 GB · 60c, M2 Ultra · 96 GB, M3 Max · 96 GB · 30c, M2 Max · 96 GB · 38c, 2x RTX 5090, Ryzen AI Max+ 395 · 64 GB, M2 Ultra · 64 GB · 76c, M2 Ultra · 64 GB · 60c, M1 Ultra · 64 GB · 64c, M1 Ultra · 64 GB · 48c, M5 Max · 64 GB · 40c, M4 Max · 64 GB · 40c, M3 Max · 64 GB · 40c, M2 Max · 64 GB · 38c, M2 Max · 64 GB · 30c, M1 Max · 64 GB · 32c, M1 Max · 64 GB · 24c, M5 Pro · 64 GB · 20c, M5 Pro · 64 GB · 16c, M4 Pro · 64 GB · 20c, M4 Pro · 64 GB · 16c, 2x RTX 4090, 2x RTX 3090 Ti, 2x RTX 3090, 2x RX 7900 XTX, M5 Max · 48 GB · 40c, M4 Max · 48 GB · 40c, M3 Max · 48 GB · 40c, M5 Pro · 48 GB · 20c, M5 Pro · 48 GB · 16c, M4 Pro · 48 GB · 20c, M4 Pro · 48 GB · 16c, RTX 5090, M5 Max · 36 GB · 32c, M4 Max · 36 GB · 32c, M3 Max · 36 GB · 30c, M3 Pro · 36 GB, RTX 4090, RTX 3090 Ti, RTX 3090, RX 7900 XTX, M2 Max · 32 GB · 38c, M2 Max · 32 GB · 30c, M1 Max · 32 GB · 32c, M1 Max · 32 GB · 24c, M2 Pro · 32 GB, M1 Pro · 32 GB, M6 · 32 GB · 12c, M5 · 32 GB · 10c, M5 · 32 GB · 8c, M4 · 32 GB, RX 7900 XT, M5 Pro · 24 GB · 20c, M5 Pro · 24 GB · 16c, M4 Pro · 24 GB · 20c, M4 Pro · 24 GB · 16c, M6 · 24 GB · 12c, M6 · 24 GB · 10c, M5 · 24 GB · 10c, M5 · 24 GB · 8c, M4 · 24 GB, M3 · 24 GB, M2 · 24 GB, RTX 5080, RTX 5070 Ti, RTX 5060 Ti, RTX 4080 SUPER, RTX 4080, RTX 4070 Ti SUPER, RTX 4060 Ti, Tesla T4, Tesla P100, RX 9070 XT, RX 9060 XT, M3 Pro · 18 GB, RTX 5070, RTX 4070 Ti, RTX 4070 SUPER, RTX 4070, RTX 3060, M2 Pro · 16 GB, M1 Pro · 16 GB, M6 · 16 GB · 12c, M6 · 16 GB · 10c, M5 · 16 GB · 10c, M5 · 16 GB · 8c, M4 · 16 GB, M3 · 16 GB, M2 · 16 GB, M1 · 16 GB, RTX 5060, RTX 4060, RTX 3070, RTX 3060 Ti, RTX 2070, M3 · 8 GB, M2 · 8 GB, M1 · 8 GB. Ornith 1.5 122B needs about 79 GB at its smallest build.
Speeds are single-user decode estimates, not measurements. "ModelFit est." comes from ModelFit's model fitted on published runs (CC BY 4.0); "our est." is memory bandwidth divided by bytes read per token, times 0.55. Memory is what the best build needs, against what the machine can give a model. Method
About the model
- Parameters
- 125.09B
- Active per token
- not in our sources
- Type
- not in our sources
- Good for
- Agentic coding
Builds and how to run them
| Quantization | Load | Min. RAM | Command |
|---|---|---|---|
| Q4_K_M | 76 GB | 128 GB | ollama run ornith-1.5:122b |
Load, minimum RAM and Ollama commands: ModelFit, CC BY 4.0. Load is memory with the model loaded, before long contexts.
Questions
Can I run Ornith 1.5 122B on a Mac?
Yes on a Mac with enough memory: the smallest Apple configuration listed here that runs it at 4-bit or better is the M2 Ultra · 128 GB · 76c.
How much memory does Ornith 1.5 122B need?
About 79 GB at the smallest build in our data, including a margin for the runtime and an 8K-token context. Longer contexts need more.
Does Ornith 1.5 122B run on a DGX Spark?
Yes, at Q4_K_M. The Spark has 128 GB of unified memory, about 121.6 GB usable.