Laguna · 118B
Can you run Laguna S 2.1 locally?
Laguna S 2.1 is a 118B-parameter model. At 4-bit or better it runs on 10 of the 120 hardware configurations listed here; the smallest is the DGX Spark (GB10) (128 GB). On a 128 GB DGX Spark it runs at Q4_K_M.
Data as of 2 November 2026
Fastest machines for Laguna S 2.1
Every machine that runs it, fastest first. Filter by type; your machine is marked. Compare machines running it side by side
- 12x RTX PRO 6000 BlackwellGraphics card · 192 GB~130 tok/s ModelFit est.Q4_K_M · 99 of 190 GB
- 2M5 UltraMac · 256–512 GB · 3 variants~85 tok/s ModelFit est.Q4_K_M · 99 GB
- 3M3 UltraMac · 256–512 GB · 3 variants~58 tok/s ModelFit est.Q4_K_M · 99 GB
- 4M2 UltraMac · 192 GB · 2 variants~52 tok/s ModelFit est.Q4_K_M · 99 GB
- 5DGX Spark (GB10)AI mini PC · 128 GBno estimateQ4_K_M · 99 of 122 GB
Too big for 110 machines
Ryzen AI Max+ 395 · 128 GB, M2 Ultra · 128 GB · 76c, M2 Ultra · 128 GB · 60c, M1 Ultra · 128 GB · 64c, M1 Ultra · 128 GB · 48c, M5 Max · 128 GB · 40c, M4 Max · 128 GB · 40c, M3 Max · 128 GB · 40c, RTX PRO 6000 Blackwell, 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. Laguna S 2.1 needs about 99 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
- 118B
- Active per token
- not in our sources
- Type
- not in our sources
- Good for
- Agentic coding, Long-horizon tasks
Builds and how to run them
| Quantization | Load | Min. RAM | Command |
|---|---|---|---|
| Q4_K_M | 96 GB | 128 GB | ollama run laguna-s-2.1:q4_K_M |
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 Laguna S 2.1 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 · 192 GB · 76c.
How much memory does Laguna S 2.1 need?
About 99 GB at the smallest build in our data, including a margin for the runtime and an 8K-token context. Longer contexts need more.
Does Laguna S 2.1 run on a DGX Spark?
Yes, at Q4_K_M. The Spark has 128 GB of unified memory, about 121.6 GB usable.