Can Phi 3 Medium 14B run on RTX A4500 20GB?
YES — Runs Great
Phi 3 Medium 14B needs ~14.8 GB VRAM. RTX A4500 20GB has 20.0 GB. With Q4_K_M quantization, expect ~63 tok/s.
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.
Select quantization to explore
Fit status
Runs well
Decode
62.8 tok/s
TTFT
3081 ms
Safe context
43K
Memory
14.8 GB / 20.0 GB
Memory breakdown
See how fast it feels
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
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 62.8 tok/s | 1681 ms | 43K |
| Coding | B | Runs well | 62.8 tok/s | 3081 ms | 43K |
| Agentic Coding | B | Tight fit | 62.8 tok/s | 4481 ms | 43K |
| Reasoning | B | Runs well | 62.8 tok/s | 3641 ms | 43K |
| RAG | B | Tight fit | 62.8 tok/s | 5602 ms | 43K |
Quantization options
How Phi 3 Medium 14B (14B params) fits at each quantization level on RTX A4500 20GB (20.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | B58 |
Q3_K_S | 3 | 6.9 GB | Low | B59 |
NVFP4 | 4 | 7.8 GB | Medium | B60 |
Q4_K_M | 4 | 8.5 GB | Medium | B61 |
Q5_K_M | 5 | 10.1 GB | High | B62 |
Q6_K | 6 | 11.5 GB | High | B62 |
Q8_0Best for your GPU | 8 | 15.0 GB | Very High | B61 |
F16 | 16 | 28.7 GB | Maximum | F0 |
Get started
Copy-paste commands to run Phi 3 Medium 14B on your machine.
Run
ollama run phi3:mediumFrequently asked questions
Can RTX A4500 20GB run Phi 3 Medium 14B?
Yes, RTX A4500 20GB can run Phi 3 Medium 14B with a B grade (Runs well). Expected decode speed: 62.8 tok/s.
How much VRAM does Phi 3 Medium 14B need?
Phi 3 Medium 14B (14B parameters) requires approximately 14.8 GB of memory with Q4_K_M quantization.
What is the best quantization for Phi 3 Medium 14B?
The recommended quantization for Phi 3 Medium 14B is Q4_K_M, which balances quality and memory efficiency.
What speed will Phi 3 Medium 14B run at on RTX A4500 20GB?
On RTX A4500 20GB, Phi 3 Medium 14B achieves approximately 62.8 tokens per second decode speed with a time-to-first-token of 3081ms using Q4_K_M quantization.
Can RTX A4500 20GB run Phi 3 Medium 14B for coding?
For coding workloads, Phi 3 Medium 14B on RTX A4500 20GB receives a B grade with 62.8 tok/s and 43K context.
What context window can Phi 3 Medium 14B use on RTX A4500 20GB?
On RTX A4500 20GB, Phi 3 Medium 14B can safely use up to 43K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.
Embed this result▼
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<iframe src="https://willitrunai.com/embed/phi-3-medium-14b-on-rtx-a4500-20gb" 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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