text model · Laguna · Windows

Can I run Laguna S 2.1 on AMD Ryzen AI Halo (128GB)?

Compatibility verdict VRAM threshold engine

Yes, but tight GPU accelerated

Yes. Laguna S 2.1 runs on AMD Ryzen AI Halo (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; a smaller context frees a few hundred MB.

That figure is at a 4k context and moves about ±15% as context length changes. AMD Ryzen AI Halo (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 AMD Ryzen AI Halo (128GB)'s ~96 GB budget; rungs past it are too large.

Run it

Install commands Windows

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 Windows

Memory: 128 GB unified
Usable for weights: ~96 GB
Power draw: ~120 W
Best runtime: llama.cpp (Vulkan/ROCm) / LM Studio

Best models for AMD Ryzen AI Halo (128GB) →

You could also run

Run Laguna S 2.1 on other hardware

Apple M4 Max (128GB)Apple M5 Max (128GB)Apple M3 Ultra (256GB)

FAQ

Can AMD Ryzen AI Halo (128GB) run Laguna S 2.1?

Yes. Laguna S 2.1 runs on AMD Ryzen AI Halo (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 AMD Ryzen AI Halo (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 Windows?

LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.

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Markdown

[![Laguna S 2.1 on AMD Ryzen AI Halo (128GB)](https://localmodel.run/badge/laguna-s-2.1/amd-ryzen-ai-halo-128gb.svg)](https://localmodel.run/can-i-run/laguna-s-2.1/amd-ryzen-ai-halo-128gb)

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.