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text model · SmolLM2 · Windows

Can I run SmolLM2 360M on AMD Radeon RX 9070 XT (16GB)?

Compatibility verdict VRAM threshold engine
Yes, it runs GPU accelerated ~1535 tok/s est.

Yes. SmolLM2 360M runs on AMD Radeon RX 9070 XT (16GB) at Q4_K_M (~1.2 GB of ~15 GB usable).

Needs ~1.2 GB Device usable ~15 GB

Runs at Q4_K_M using ~1.2 GB of ~15 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 Radeon RX 9070 XT (16GB) leaves ~13.8 GB of headroom, room to step up to FP16 for higher quality.

Q4_K_M needed
~1.2 GB
Usable on device
~15 GB
Device memory
16 GB
Best quant
Q4_K_M
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Which quant fits

Quant ladder vs ~15 GB usable
Q2_K
~1.1 GB
Q3_K_M
~1.1 GB
Q4_K_M
~1.2 GB
Q5_K_M
~1.2 GB
Q6_K
~1.2 GB
Q8_0
~1.3 GB
FP16
~1.6 GB
The line marks AMD Radeon RX 9070 XT (16GB)'s ~15 GB budget; rungs past it are too large.

Running cost · estimate

Power & economics est.
Power draw
~304 W
Electricity / 1M tokens
~$0.01
Pays for itself after
~1,222M tok

At ~$0.15/kWh and the estimated ~1535 tok/s, a million generated tokens costs about $0.01 in electricity. Versus a hosted API at ~$0.5 per million tokens, the ~$599 AMD Radeon RX 9070 XT (16GB) pays for itself after roughly 1,222 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 3 load the same Q4_K_M weights.

Ollama
$ ollama run smollm2:360m
llama.cpp
$ llama-cli -hf bartowski/SmolLM2-360M-Instruct-GGUF:Q4_K_M
LM Studio
$ lms get bartowski/SmolLM2-360M-Instruct-GGUF
Model SmolLM2
Parameters
0.362B
Q4_K_M size
0.271 GB
Q8_0 size
0.386 GB
Context
2k
Ollama tag
smollm2:360m

Set up this model at 2K →

Full SmolLM2 360M requirements →
Device Windows
Memory
16 GB vram
Usable for weights
~15 GB
Power draw
~304 W
Best runtime
llama.cpp (Vulkan/ROCm) / Ollama (ROCm)
Best models for AMD Radeon RX 9070 XT (16GB) →

You could also run

Run SmolLM2 360M on other hardware

Nvidia GeForce RTX 2060 (6GB)Apple M1 (8GB)8GB RAM Laptop (CPU/iGPU only)iPhone 15 ProiPhone 16iPhone 16 Pro

FAQ

Can AMD Radeon RX 9070 XT (16GB) run SmolLM2 360M?

Yes. SmolLM2 360M runs on AMD Radeon RX 9070 XT (16GB) at Q4_K_M (~1.2 GB of ~15 GB usable).

How much memory does SmolLM2 360M need?

AMD Radeon RX 9070 XT (16GB) has room to spare. At Q4_K_M the weights are ~0.271 GB; with KV cache and runtime overhead, budget ~1.2 GB at a 4k context.

What is the best tool to run SmolLM2 360M 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.