RX 7900 XT 20GB经济之选
20 GB VRAM (+4)800 GB/s (+160)
B
Adds memory headroom for longer context windows and future model growth.60.4 tok/s 解码
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
Can Phi 3 Medium 14B run on RX 9070 XT 16GB?
YES — Tight Fit
B63Good
Estimated from fit model
Phi 3 Medium 14B needs ~14.1 GB VRAM. RX 9070 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~52 tok/s.
Runtime: llama.cppCapacity: TightBandwidth: MediumStack: StandardBottleneck: Balanced
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
Q4_K_M (Medium quality) — 14.1 GB, 51.6 tok/s, Tight fit
14.1 GB required16.0 GB available
88% VRAM used
Fit status
Tight fit
Decode
51.6 tok/s
TTFT
3755 ms
Safe context
26K
Memory
14.1 GB / 16.0 GB
Memory breakdown
Weights8.5 GB
KV Cache3.1 GB
Runtime0.9 GB
Headroom1.6 GB
See how fast it feels
See how fast it feelsPhi 3 Medium 14B on RX 9070 XT 16GB
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: 51.6 tok/s decode · 3.8s TTFT (warm) · 129 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
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 51.6 tok/s | 2048 ms | 26K |
| Coding | B | Tight fit | 51.6 tok/s | 3755 ms | 26K |
| Agentic Coding | C | Runs with offload (needs ~0.6 GB host RAM) | 34.2 tok/s | 8222 ms | 26K |
| Reasoning | B | Tight fit | 51.6 tok/s | 4438 ms | 26K |
| RAG | C | Runs with offload (needs ~0.6 GB host RAM) | 34.2 tok/s | 10278 ms | 26K |
Quantization options
How Phi 3 Medium 14B (14B params) fits at each quantization level on RX 9070 XT 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | B60 |
Q3_K_S | 3 | 6.9 GB | Low | B62 |
NVFP4 | 4 | 7.8 GB | Medium | B63 |
Q4_K_M | 4 | 8.5 GB | Medium | B62 |
Q5_K_M | 5 | 10.1 GB | High | B62 |
Q6_KBest for your GPU | 6 | 11.5 GB | High | B62 |
Q8_0 | 8 | 15.0 GB | Very High | F0 |
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:medium升级选项
能流畅运行 Phi 3 Medium 14B 的硬件
RX 7900 XTX 24GB最佳性价比
24 GB VRAM (+8)960 GB/s (+320)
B
Raises estimated decode speed by about 69%.87 tok/s 解码
Raises estimated decode speed by about 69%.
Adds memory headroom for longer context windows and future model growth.
~$999 MSRP
AMD Instinct MI100 32GBAMD 升级
32 GB VRAM (+16)1228 GB/s (+588)
B
Raises estimated decode speed by about 95%.100.5 tok/s 解码
Raises estimated decode speed by about 95%.
Adds memory headroom for longer context windows and future model growth.
~$11,500 MSRP
Frequently asked questions
Can RX 9070 XT 16GB run Phi 3 Medium 14B?
Yes, RX 9070 XT 16GB can run Phi 3 Medium 14B with a B grade (Tight fit). Expected decode speed: 51.6 tok/s.
How much VRAM does Phi 3 Medium 14B need?
Phi 3 Medium 14B (14B parameters) requires approximately 14.1 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 RX 9070 XT 16GB?
On RX 9070 XT 16GB, Phi 3 Medium 14B achieves approximately 51.6 tokens per second decode speed with a time-to-first-token of 3755ms using Q4_K_M quantization.
Can RX 9070 XT 16GB run Phi 3 Medium 14B for coding?
For coding workloads, Phi 3 Medium 14B on RX 9070 XT 16GB receives a B grade with 51.6 tok/s and 26K context.
What context window can Phi 3 Medium 14B use on RX 9070 XT 16GB?
On RX 9070 XT 16GB, Phi 3 Medium 14B can safely use up to 26K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.
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<iframe src="https://willitrunai.com/embed/phi-3-medium-14b-on-rx-9070-xt-16gb" 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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