Ornith · 35B
Can you run Ornith 1.0 35B locally?
Ornith 1.0 35B is a 35B-parameter model. At 4-bit or better it runs on 63 of the 120 hardware configurations listed here; the smallest is the RTX 4090 (24 GB). On a 128 GB DGX Spark it runs at Q4_K_M.
Data as of 2 November 2026
Fastest machines for Ornith 1.0 35B
Every machine that runs it, fastest first. Filter by type; your machine is marked. Compare machines running it side by side
- 1RTX 5090Graphics card · 32 GB~350 tok/s ModelFit est.Q4_K_M · 23 of 31 GB
- 2RTX PRO 6000 BlackwellGraphics card · 96 GB~350 tok/s ModelFit est.Q4_K_M · 23 of 95 GB
- 32x RTX 5090Graphics card · 64 GB~317 tok/s ModelFit est.Q4_K_M · 23 of 62 GB
- 42x RTX PRO 6000 BlackwellGraphics card · 192 GB~317 tok/s ModelFit est.Q4_K_M · 23 of 190 GB
- 5RTX 4090Graphics card · 24 GB~242 tok/s ModelFit est.Q4_K_M · 23 of 23 GB
- 6M5 UltraMac · 96–512 GB · 5 variants~228 tok/s ModelFit est.Q4_K_M · 23 GB
- 72x RTX 4090Graphics card · 48 GB~226 tok/s ModelFit est.Q4_K_M · 23 of 46 GB
- 8RTX 3090 TiGraphics card · 24 GB~223 tok/s ModelFit est.Q4_K_M · 23 of 23 GB
- 9RTX 3090Graphics card · 24 GB~212 tok/s ModelFit est.Q4_K_M · 23 of 23 GB
- 102x RTX 3090 TiGraphics card · 48 GB~209 tok/s ModelFit est.Q4_K_M · 23 of 46 GB
- 112x RTX 3090Graphics card · 48 GB~200 tok/s ModelFit est.Q4_K_M · 23 of 46 GB
- 12RX 7900 XTXGraphics card · 24 GB~168 tok/s ModelFit est.Q4_K_M · 23 of 23 GB
- 13M5 MaxMac · 48–128 GB · 3 variants~166 tok/s ModelFit est.Q4_K_M · 23 GB
- 14M3 UltraMac · 96–512 GB · 5 variants~164 tok/s ModelFit est.Q4_K_M · 23 GB
- 152x RX 7900 XTXGraphics card · 48 GB~160 tok/s ModelFit est.Q4_K_M · 23 of 46 GB
- 16M2 UltraMac · 64–192 GB · 7 variants~141 tok/s ModelFit est.Q4_K_M · 23 GB
- 17M4 MaxMac · 48–128 GB · 3 variants~139 tok/s ModelFit est.Q4_K_M · 23 GB
- 18M5 Max · 36 GB · 32cMac · 36 GB~131 tok/s ModelFit est.Q4_K_M · 23 of 24 GB
- 19M1 UltraMac · 64–128 GB · 4 variants~125 tok/s ModelFit est.Q4_K_M · 23 GB
- 20M3 MaxMac · 48–128 GB · 3 variants~111 tok/s ModelFit est.Q4_K_M · 23 GB
- 21M4 Max · 36 GB · 32cMac · 36 GB~110 tok/s ModelFit est.Q4_K_M · 23 of 24 GB
- 22M2 MaxMac · 64–96 GB · 3 variants~102 tok/s ModelFit est.Q4_K_M · 23 GB
- 23M5 ProMac · 48–64 GB · 4 variants~101 tok/s ModelFit est.Q4_K_M · 23 GB
- 24M1 MaxMac · 64 GB · 2 variants~92 tok/s ModelFit est.Q4_K_M · 23 GB
- 25M3 MaxMac · 36–96 GB · 2 variants~87 tok/s ModelFit est.Q4_K_M · 23 GB
- 26M4 ProMac · 48–64 GB · 4 variants~85 tok/s ModelFit est.Q4_K_M · 23 GB
- 27Ryzen AI Max+ 395 · 128 GBAI mini PC · 128 GB~64 tok/s ModelFit est.Q4_K_M · 23 of 96 GB
- 28M3 Pro · 36 GBMac · 36 GB~51 tok/s ModelFit est.Q4_K_M · 23 of 24 GB
- 29Ryzen AI Max+ 395 · 64 GBAI mini PC · 64 GBno estimateQ4_K_M · 23 of 48 GB
- 30DGX Spark (GB10)AI mini PC · 128 GBno estimateQ4_K_M · 23 of 122 GB
Too big for 57 machines
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 1.0 35B needs about 23 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
- 35B
- 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 | 21 GB | 32 GB | ollama run ornith:35b |
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 1.0 35B 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 M5 Max · 36 GB · 32c.
How much memory does Ornith 1.0 35B need?
About 23 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 1.0 35B run on a DGX Spark?
Yes, at Q4_K_M. The Spark has 128 GB of unified memory, about 121.6 GB usable.