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Can I run OLMo 2 32B Instruct on AMD Radeon RX 7900 XTX (24GB)?

Compatibility verdict VRAM threshold engine
Yes, it runs GPU accelerated ~34 tok/s est.

Yes. OLMo 2 32B Instruct runs on AMD Radeon RX 7900 XTX (24GB) at Q4_K_M (~20.3 GB of ~23 GB usable).

Needs ~20.3 GB Device usable ~23 GB

Runs at Q4_K_M using ~20.3 GB of ~23 GB usable.

That figure is at a 4k context and moves about ±15% as context length changes. AMD Radeon RX 7900 XTX (24GB) leaves ~2.7 GB of headroom.

Q4_K_M needed
~20.3 GB
Usable on device
~23 GB
Device memory
24 GB
Best quant
Q4_K_M
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Which quant fits

Quant ladder vs ~23 GB usable
Q2_K
~15.6 GB
Q3_K_M
~17.8 GB
Q4_K_M
~20.3 GB
Q5_K_M
~25 GB
Q6_K
~28.4 GB
Q8_0
~34.1 GB
FP16
~62.2 GB
The line marks AMD Radeon RX 7900 XTX (24GB)'s ~23 GB budget; rungs past it are too large.

Running cost · estimate

Power & economics est.
Power draw
~355 W
Electricity / 1M tokens
~$0.44
Pays for itself after
~16,650M tok

At ~$0.15/kWh and the estimated ~34 tok/s, a million generated tokens costs about $0.44 in electricity. Versus a hosted API at ~$0.5 per million tokens, the ~$999 AMD Radeon RX 7900 XTX (24GB) pays for itself after roughly 16,650 million tokens, so local hardware is mostly a fixed cost, not a per-token one. TDP is the peak draw, so this is an upper bound. Assumptions.

Run it

Install commands Windows

Pick your tool. All 2 load the same Q4_K_M weights.

llama.cpp
$ llama-cli -hf unsloth/OLMo-2-0325-32B-Instruct-GGUF:Q4_K_M
LM Studio
$ lms get unsloth/OLMo-2-0325-32B-Instruct-GGUF

How to run it

On Windows use LM Studio (Best GUI on Windows, auto-detects CUDA/Vulkan backends.).

Model OLMo
Parameters
32B
Q4_K_M size
18.14 GB
Q8_0 size
31.9 GB
Context
4k

Set up this model at 4K →

Full OLMo 2 32B Instruct requirements →
Device Windows
Memory
24 GB vram
Usable for weights
~23 GB
Power draw
~355 W
Best runtime
Ollama (ROCm) / llama.cpp ROCm (Linux)
Best models for AMD Radeon RX 7900 XTX (24GB) →

You could also run

Run OLMo 2 32B Instruct on other hardware

Nvidia GeForce RTX 4090 (24GB)Nvidia GeForce RTX 3090 (24GB)Nvidia GeForce RTX 5090 (32GB)32GB RAM Laptop (CPU/iGPU only)Apple M5 (32GB)Apple M4 Pro (48GB)

FAQ

Can AMD Radeon RX 7900 XTX (24GB) run OLMo 2 32B Instruct?

Yes. OLMo 2 32B Instruct runs on AMD Radeon RX 7900 XTX (24GB) at Q4_K_M (~20.3 GB of ~23 GB usable).

How much memory does OLMo 2 32B Instruct need?

AMD Radeon RX 7900 XTX (24GB) has room to spare. At Q4_K_M the weights are ~18.14 GB; with KV cache and runtime overhead, budget ~20.3 GB at a 4k context.

What is the best tool to run OLMo 2 32B Instruct 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.