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text model · Laguna · macOS

Can I run Laguna S 2.1 on Apple M4 Max (128GB)?

Compatibility verdict VRAM threshold engine
Yes, but tight GPU accelerated

Yes. Laguna S 2.1 runs on Apple M4 Max (128GB) at Q4_K_M (~92.8 GB of ~96 GB usable).

Needs ~92.8 GB Device usable ~96 GB

Fits at Q4_K_M (~92.8 GB of ~96 GB usable) but with little headroom. Close other apps, or drop to a 2k context to free about a gigabyte.

That figure is at a 4k context and moves about ±15% as context length changes. Apple M4 Max (128GB) leaves ~3.2 GB of headroom.

Q4_K_M needed
~92.8 GB
Usable on device
~96 GB
Device memory
128 GB
Best quant
Q4_K_M
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Which quant fits

Quant ladder vs ~96 GB usable
Q2_K
~52.8 GB
Q3_K_M
~61.1 GB
Q4_K_M
~92.8 GB
Q5_K_M
~87.5 GB
Q6_K
~100.2 GB
Q8_0
~123.3 GB
FP16
~222.5 GB
The line marks Apple M4 Max (128GB)'s ~96 GB budget; rungs past it are too large.

Run it

Install commands macOS

Pick your tool. All 3 load the same Q4_K_M weights.

Ollama
$ ollama run laguna-s-2.1:latest
llama.cpp
$ llama-cli -hf poolside/Laguna-S-2.1-GGUF:Q4_K_M
LM Studio
$ lms get poolside/Laguna-S-2.1-GGUF
Model Laguna
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
Full Laguna S 2.1 requirements →
Device macOS
Memory
128 GB unified
Usable for weights
~96 GB
Power draw
~145 W
Best runtime
MLX direct / Ollama (MLX backend)
Best models for Apple M4 Max (128GB) →

You could also run

Run Laguna S 2.1 on other hardware

FAQ

Can Apple M4 Max (128GB) run Laguna S 2.1?

Yes. Laguna S 2.1 runs on Apple M4 Max (128GB) at Q4_K_M (~92.8 GB of ~96 GB usable).

How much memory does Laguna S 2.1 need?

It is a tight fit on Apple M4 Max (128GB). 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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Laguna S 2.1 on Apple M4 Max (128GB) compatibility badge A live badge for your model card or README, updated as the data is.
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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.