Will It Run AI

Can Qwen 2.5 14B run on RX 7900 XT 20GB?

YES — Runs Great

S86Excellent
Estimated from fit model

Qwen 2.5 14B needs ~14.4 GB VRAM. RX 7900 XT 20GB has 20.0 GB. With Q4_K_M quantization, expect ~61 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced
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Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) 14.4 GB, 60.7 tok/s, Runs well
14.4 GB required20.0 GB available
72% VRAM used

Fit status

Runs well

Decode

60.7 tok/s

TTFT

3189 ms

Safe context

47K

Memory

14.4 GB / 20.0 GB

Memory breakdown

Weights8.5 GB
KV Cache2.9 GB
Runtime0.9 GB
Headroom2.0 GB

See how fast it feels

See how fast it feelsQwen 2.5 14B on RX 7900 XT 20GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step. Given information: - Speed = 60 mph (miles per hour) - Time = 2.5 hours Formula: Distance = Speed x Time Calculation: Distance = 60 mph x 2.5 h = 150 miles The train travels 150 miles. Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time. Breakdown: - First half: 1.25 hours at 60 mph = 75 miles - Stop: 20 minutes (no distance) - Second half: 1.25 hours at 60 mph = 75 miles Total distance: 150 miles (same) Total time: 2.5 h + 0.33 h = 2.83 hours Average speed: 150 / 2.83 = 53 mph The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 60.7 tok/s decode · 3.2s TTFT (warm) · 152 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatSRuns well60.7 tok/s1740 ms47K
CodingSRuns well60.7 tok/s3189 ms47K
Agentic CodingATight fit60.7 tok/s4639 ms47K
ReasoningSRuns well60.7 tok/s3769 ms47K
RAGATight fit60.7 tok/s5799 ms47K

Quantization options

How Qwen 2.5 14B (14B params) fits at each quantization level on RX 7900 XT 20GB (20.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
LowA78
Q3_K_S
3
6.9 GB
LowA79
NVFP4
4
7.8 GB
MediumA80
Q4_K_M
4
8.5 GB
MediumA80
Q5_K_M
5
10.1 GB
HighA82
Q6_K
6
11.5 GB
HighA81
Q8_0Best for your GPU
8
15.0 GB
Very HighA81
F16
16
28.7 GB
MaximumF0

Get started

Copy-paste commands to run Qwen 2.5 14B on your machine.

Run

ollama run qwen2.5

Your hardware

More models your RX 7900 XT 20GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen3-Coder 30B A3B Instruct30.5BA40.7 tok/s
AlibabaQwen 3.5 27B27BA18.3 tok/s
AlibabaQwen 3.6 27B27BS17.3 tok/s
AlibabaQwen3-VL 30B A3B Instruct30BA43.3 tok/s
MistralMagistral Small 250724BS35.2 tok/s

Frequently asked questions

Can RX 7900 XT 20GB run Qwen 2.5 14B?

Yes, RX 7900 XT 20GB can run Qwen 2.5 14B with a S grade (Runs well). Expected decode speed: 60.7 tok/s.

How much VRAM does Qwen 2.5 14B need?

Qwen 2.5 14B (14B parameters) requires approximately 14.4 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 2.5 14B?

The recommended quantization for Qwen 2.5 14B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 2.5 14B run at on RX 7900 XT 20GB?

On RX 7900 XT 20GB, Qwen 2.5 14B achieves approximately 60.7 tokens per second decode speed with a time-to-first-token of 3189ms using Q4_K_M quantization.

Can RX 7900 XT 20GB run Qwen 2.5 14B for coding?

For coding workloads, Qwen 2.5 14B on RX 7900 XT 20GB receives a S grade with 60.7 tok/s and 47K context.

What context window can Qwen 2.5 14B use on RX 7900 XT 20GB?

On RX 7900 XT 20GB, Qwen 2.5 14B can safely use up to 47K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for RX 7900 XT 20GBSee all hardware for Qwen 2.5 14B
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<iframe src="https://willitrunai.com/embed/qwen-2.5-14b-on-rx-7900-xt-20gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

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