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text model · Qwen2.5-Coder · Windows

Can I run Qwen2.5 Coder 14B on AMD Radeon RX 9070 XT (16GB)?

Compatibility verdict VRAM threshold engine
Yes, it runs GPU accelerated ~50 tok/s est.

Yes. Qwen2.5 Coder 14B runs on AMD Radeon RX 9070 XT (16GB) at Q4_K_M (~10.1 GB of ~15 GB usable).

Needs ~10.1 GB Device usable ~15 GB

Runs at Q4_K_M using ~10.1 GB of ~15 GB usable.

That figure is at a 4k context and moves about ±15% as context length changes. AMD Radeon RX 9070 XT (16GB) leaves ~4.9 GB of headroom.

Q4_K_M needed
~10.1 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
~7.6 GB
Q3_K_M
~8.5 GB
Q4_K_M
~10.1 GB
Q5_K_M
~11.7 GB
Q6_K
~13.2 GB
Q8_0
~16.3 GB
FP16
~29.7 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
~$0.25
Pays for itself after
~2,396M tok

At ~$0.15/kWh and the estimated ~50 tok/s, a million generated tokens costs about $0.25 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 2,396 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 qwen2.5-coder:14b
llama.cpp
$ llama-cli -hf bartowski/Qwen2.5-Coder-14B-Instruct-GGUF:Q4_K_M
LM Studio
$ lms get bartowski/Qwen2.5-Coder-14B-Instruct-GGUF
Model Qwen2.5-Coder
Parameters
14B
Q4_K_M size
8.37 GB
Q8_0 size
14.62 GB
Context
32k
Ollama tag
qwen2.5-coder:14b

Set up this model at 4K →

Full Qwen2.5 Coder 14B 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 Qwen2.5 Coder 14B on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Nvidia GeForce RTX 5070 (12GB)Apple M2 (16GB)Apple M4 (16GB)Nvidia GeForce RTX 4060 Ti (16GB)

FAQ

Can AMD Radeon RX 9070 XT (16GB) run Qwen2.5 Coder 14B?

Yes. Qwen2.5 Coder 14B runs on AMD Radeon RX 9070 XT (16GB) at Q4_K_M (~10.1 GB of ~15 GB usable).

How much memory does Qwen2.5 Coder 14B need?

AMD Radeon RX 9070 XT (16GB) has room to spare. At Q4_K_M the weights are ~8.37 GB; with KV cache and runtime overhead, budget ~10.1 GB at a 4k context.

What is the best tool to run Qwen2.5 Coder 14B 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.