text model · Laguna · macOS
Can I run Laguna S 2.1 on Apple M3 Ultra (256GB)?
Yes. Laguna S 2.1 runs on Apple M3 Ultra (256GB) at Q4_K_M (~92.8 GB of ~192 GB usable).
Runs at Q4_K_M using ~92.8 GB of ~192 GB usable. You have room for Q8_0 for higher quality.
That figure is at a 4k context and moves about ±15% as context length changes. Apple M3 Ultra (256GB) leaves ~99.2 GB of headroom, room to step up to Q8_0 for higher quality.
- Q4_K_M needed
- ~92.8 GB
- Usable on device
- ~192 GB
- Device memory
- 256 GB
- Best quant
- Q4_K_M
Which quant fits
Run it
Pick your tool. All 3 load the same Q4_K_M weights.
ollama run laguna-s-2.1:latest llama-cli -hf poolside/Laguna-S-2.1-GGUF:Q4_K_M lms get poolside/Laguna-S-2.1-GGUF - Parameters
- 118B (MoE, 8B active)
- Q4_K_M size
- 89.44 GB
- Q8_0 size
- 119.91 GB
- Context
- 1000k
- Ollama tag
- laguna-s-2.1:latest
- Memory
- 256 GB unified
- Usable for weights
- ~192 GB
- Power draw
- ~270 W
- Best runtime
- MLX direct / Ollama (MLX backend)
You could also run
Run Laguna S 2.1 on other hardware
FAQ
Can Apple M3 Ultra (256GB) run Laguna S 2.1?
Yes. Laguna S 2.1 runs on Apple M3 Ultra (256GB) at Q4_K_M (~92.8 GB of ~192 GB usable).
How much memory does Laguna S 2.1 need?
Apple M3 Ultra (256GB) has room to spare. At Q4_K_M the weights are ~89.44 GB; with KV cache and runtime overhead, budget ~92.8 GB at a 4k context. It is a Mixture-of-Experts model (118B total / 8B active), so all experts must stay in memory; memory tracks total params, not active params.
What is the best tool to run Laguna S 2.1 on macOS?
LM Studio for a simple setup; mlx-lm for the most speed. vLLM is NOT a Mac tool, it is a CUDA/Linux serving engine. Unified memory is not a fixed VRAM slice; ~70% is usable for weights.
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A live badge for your model card or README, updated as the data is. [](https://localmodel.run/can-i-run/laguna-s-2.1/apple-m3-ultra-256gb) Sources
Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.