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text model · Granite · Windows

Can I run Granite 4.1 30B on AMD Ryzen AI Halo (128GB)?

Compatibility verdict VRAM threshold engine
Yes, it runs GPU accelerated ~10 tok/s est.

Yes. Granite 4.1 30B runs on AMD Ryzen AI Halo (128GB) at Q4_K_M (~19.1 GB of ~96 GB usable).

Needs ~19.1 GB Device usable ~96 GB

Runs at Q4_K_M using ~19.1 GB of ~96 GB usable. You have room for FP16 for higher quality.

That figure is at a 4k context and moves about ±15% as context length changes. AMD Ryzen AI Halo (128GB) leaves ~76.9 GB of headroom, room to step up to FP16 for higher quality.

Q4_K_M needed
~19.1 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
~14.2 GB
Q3_K_M
~16.2 GB
Q4_K_M
~19.1 GB
Q5_K_M
~22.7 GB
Q6_K
~25.8 GB
Q8_0
~33.1 GB
FP16
~60.1 GB
The line marks AMD Ryzen AI Halo (128GB)'s ~96 GB budget; rungs past it are too large.

Running cost · estimate

Power & economics est.
Power draw
~120 W
Electricity / 1M tokens
~$0.5

At ~$0.15/kWh and the estimated ~10 tok/s, a million generated tokens costs about $0.5 in electricity. TDP is the peak draw, so this is an upper bound. Assumptions.

Run it

Install commands Windows

Loads the Q4_K_M weights.

Ollama
$ ollama run granite4.1:30b
Model Granite
Parameters
28.9B
Q4_K_M size
17 GB
Q8_0 size
31 GB
Context
128k
Ollama tag
granite4.1:30b
Full Granite 4.1 30B 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 Granite 4.1 30B on other hardware

FAQ

Can AMD Ryzen AI Halo (128GB) run Granite 4.1 30B?

Yes. Granite 4.1 30B runs on AMD Ryzen AI Halo (128GB) at Q4_K_M (~19.1 GB of ~96 GB usable).

How much memory does Granite 4.1 30B need?

AMD Ryzen AI Halo (128GB) has room to spare. At Q4_K_M the weights are ~17 GB; with KV cache and runtime overhead, budget ~19.1 GB at a 4k context.

What is the best tool to run Granite 4.1 30B 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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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.