Question 1

Can I run InternLM 2.5 20B on a Intel Arc A770 16GB?

Accepted Answer

Yes — Intel Arc A770 16GB runs InternLM 2.5 20B fully on GPU at the Q4_K_M quantization. Full GPU inference — 16 GB VRAM meets the 16 GB recommendation.

Question 2

What quantization of InternLM 2.5 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 ~37.3 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does InternLM 2.5 20B run on Intel Arc A770 16GB?

Accepted Answer

Roughly 37.3 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 InternLM 2.5 20B?

Accepted Answer

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

Can I Run InternLM 2.5 20B on Intel Arc A770 16GB?

Share this matchup

Every InternLM 2.5 20B quantization on Intel Arc A770 16GB