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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Phi-4 14B/on RX 7600 XT 16GB

Can it run?

Can RX 7600 XT 16GB run Phi-4 14B?

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

19.6 tok/s

TTFT

9898 ms

Safe context

16K

Memory

13.5 GB / 16.0 GB

Memory breakdown

Weights8.5 GB
KV Cache2.2 GB
Runtime1.2 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCRuns with offload19.6 tok/s14397 ms16K
ChatCRuns well19.6 tok/s5399 ms10K
CodingCTight fit19.6 tok/s9898 ms16K
RAGCRuns with offload19.6 tok/s17996 ms16K
ReasoningCTight fit19.6 tok/s11698 ms16K

Quantization options

How Phi-4 14B (14B params) fits at each quantization level on RX 7600 XT 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
LowD36
Q3_K_S
3
6.9 GB
LowD38
NVFP4
4
7.8 GB
MediumD39
Q4_K_M
4
8.5 GB
MediumC40
Q5_K_M
5
10.1 GB
HighC42
Q6_KBest for your GPU
6
11.5 GB
HighC44
Q8_0
8
15.0 GB
Very HighC44
F16
16
28.7 GB
MaximumF0

Get started

Ollama
ollama run phi-4-14b
HuggingFace
huggingface-cli download phi-4-14b

Upgrade options

Hardware that runs Phi-4 14B well

AppleMacBook Pro M4 32GBBudget pick
C10.1 tok/s decode

~$799 MSRP

AMDRX 7900 XT 20GBBest value
C56.2 tok/s decode

~$899 MSRP

AMDRX 7900 XTX 24GBAMD upgrade
C80.9 tok/s decode

~$999 MSRP

NVIDIARTX A4500 20GBBiggest leap
B58.5 tok/s decode

 

See all results for RX 7600 XT 16GBSee all hardware for Phi-4 14B