Question 1

Can I run GPT-OSS 20B on a Intel Arc A770 16GB?

Accepted Answer

Yes — Intel Arc A770 16GB runs GPT-OSS 20B fully on GPU at the Q4_K_M quantization. Full GPU inference — 16 GB VRAM meets the 13 GB recommendation.

Question 2

What quantization of GPT-OSS 20B should I use on a Intel Arc A770 16GB?

Accepted Answer

For 16 GB VRAM on the Intel Arc A770 16GB, the Q4_K_M variant is the best fit. Estimated ~44.8 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does GPT-OSS 20B run on Intel Arc A770 16GB?

Accepted Answer

Roughly 44.8 tokens/sec for Q4_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 GPT-OSS 20B?

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_MBest fit	10 GB	11.5 GB	13 GB	8K / 8K	Full GPU	~44.8
Q5_K_M	12.5 GB	14.4 GB	16.3 GB	8K / 8K	Partial GPU	~27.3
Q8_0	20 GB	23 GB	26 GB	8K / 8K	Hybrid CPU+GPU	~9
FP16	40 GB	46 GB	52 GB	8K / 8K	Hybrid CPU+GPU	~5

Can I Run GPT-OSS 20B on Intel Arc A770 16GB?

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