Question 1

Can I run Phi-4 Reasoning 14B on a Intel Arc A770 16GB?

Accepted Answer

Yes — Intel Arc A770 16GB runs Phi-4 Reasoning 14B fully on GPU at the Q5_K_M quantization. Full GPU inference — 16 GB VRAM meets the 11.4 GB recommendation.

Question 2

What quantization of Phi-4 Reasoning 14B should I use on a Intel Arc A770 16GB?

Accepted Answer

For 16 GB VRAM on the Intel Arc A770 16GB, the Q5_K_M variant is the best fit. Estimated ~55.3 tokens/sec on the Q5_K_M quantization.

Question 3

How fast does Phi-4 Reasoning 14B run on Intel Arc A770 16GB?

Accepted Answer

Roughly 55.3 tokens/sec for Q5_K_M. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if Intel Arc A770 16GB is not enough for Phi-4 Reasoning 14B?

Accepted Answer

Try a smaller quantization variant or run on CPU + RAM with the trade-off of slower generation.

Quantization	File Size	Min VRAM	Rec VRAM	Context	Verdict	Estimated tok/s
Q4_K_M	7 GB	8 GB	9.1 GB	8K / 8K	Full GPU	~64
Q5_K_MBest fit	8.8 GB	10.1 GB	11.4 GB	8K / 8K	Full GPU	~55.3
Q8_0	14 GB	16.1 GB	18.2 GB	8K / 8K	Hybrid CPU+GPU	~12
FP16	28 GB	32.2 GB	36.4 GB	8K / 8K	Hybrid CPU+GPU	~7

Can I Run Phi-4 Reasoning 14B on Intel Arc A770 16GB?

Share this matchup

Every Phi-4 Reasoning 14B quantization on Intel Arc A770 16GB