Sage · 35.95B
Can you run Sage-A1.5 locally?
Sage-A1.5 is a 35.95B-parameter model. At 4-bit or better it runs on 59 of the 120 hardware configurations listed here; the smallest is the RTX 5090 (32 GB). On a 128 GB DGX Spark it runs at Q4_K_M.
Data as of 2 November 2026
Fastest machines for Sage-A1.5
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~346 tok/s ModelFit est.Q4_K_M · 23 of 31 GB
- 2RTX PRO 6000 BlackwellGraphics card · 96 GB~346 tok/s ModelFit est.Q4_K_M · 23 of 95 GB
- 32x RTX 5090Graphics card · 64 GB~314 tok/s ModelFit est.Q4_K_M · 23 of 62 GB
- 42x RTX PRO 6000 BlackwellGraphics card · 192 GB~314 tok/s ModelFit est.Q4_K_M · 23 of 190 GB
- 5M5 UltraMac · 96–512 GB · 5 variants~225 tok/s ModelFit est.Q4_K_M · 23 GB
- 62x RTX 4090Graphics card · 48 GB~223 tok/s ModelFit est.Q4_K_M · 23 of 46 GB
- 72x RTX 3090 TiGraphics card · 48 GB~206 tok/s ModelFit est.Q4_K_M · 23 of 46 GB
- 82x RTX 3090Graphics card · 48 GB~197 tok/s ModelFit est.Q4_K_M · 23 of 46 GB
- 9M5 MaxMac · 48–128 GB · 3 variants~163 tok/s ModelFit est.Q4_K_M · 23 GB
- 10M3 UltraMac · 96–512 GB · 5 variants~161 tok/s ModelFit est.Q4_K_M · 23 GB
- 112x RX 7900 XTXGraphics card · 48 GB~158 tok/s ModelFit est.Q4_K_M · 23 of 46 GB
- 12M2 UltraMac · 64–192 GB · 7 variants~139 tok/s ModelFit est.Q4_K_M · 23 GB
- 13M4 MaxMac · 48–128 GB · 3 variants~137 tok/s ModelFit est.Q4_K_M · 23 GB
- 14M5 Max · 36 GB · 32cMac · 36 GB~128 tok/s ModelFit est.Q4_K_M · 23 of 24 GB
- 15M1 UltraMac · 64–128 GB · 4 variants~124 tok/s ModelFit est.Q4_K_M · 23 GB
- 16M3 MaxMac · 48–128 GB · 3 variants~109 tok/s ModelFit est.Q4_K_M · 23 GB
- 17M4 Max · 36 GB · 32cMac · 36 GB~108 tok/s ModelFit est.Q4_K_M · 23 of 24 GB
- 18M2 MaxMac · 64–96 GB · 3 variants~100 tok/s ModelFit est.Q4_K_M · 23 GB
- 19M5 ProMac · 48–64 GB · 4 variants~99 tok/s ModelFit est.Q4_K_M · 23 GB
- 20M1 MaxMac · 64 GB · 2 variants~90 tok/s ModelFit est.Q4_K_M · 23 GB
- 21M3 MaxMac · 36–96 GB · 2 variants~85 tok/s ModelFit est.Q4_K_M · 23 GB
- 22M4 ProMac · 48–64 GB · 4 variants~83 tok/s ModelFit est.Q4_K_M · 23 GB
- 23Ryzen AI Max+ 395 · 128 GBAI mini PC · 128 GB~63 tok/s ModelFit est.Q4_K_M · 23 of 96 GB
- 24M3 Pro · 36 GBMac · 36 GB~49 tok/s ModelFit est.Q4_K_M · 23 of 24 GB
- 25Ryzen AI Max+ 395 · 64 GBAI mini PC · 64 GBno estimateQ4_K_M · 23 of 48 GB
- 26DGX Spark (GB10)AI mini PC · 128 GBno estimateQ4_K_M · 23 of 122 GB
Too big for 61 machines
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. Sage-A1.5 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
- 35.95B
- Active per token
- not in our sources
- Type
- not in our sources
- Good for
- Scientific research agents, Long-horizon tasks
Builds and how to run them
| Quantization | Load | Min. RAM | Command |
|---|---|---|---|
| Q4_K_M | 22 GB | 32 GB | GGUF or MLX build |
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 Sage-A1.5 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 Sage-A1.5 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 Sage-A1.5 run on a DGX Spark?
Yes, at Q4_K_M. The Spark has 128 GB of unified memory, about 121.6 GB usable.