Question 1

Can I run DeepSeek Coder V2 Lite 16B on a Intel Arc B580?

Accepted Answer

Mostly — Intel Arc B580 runs DeepSeek Coder V2 Lite 16B (Q4_K_M) with partial GPU offload. Expect slower speeds than a fully fitting card. Partial GPU offload — 12 GB VRAM is above the 11 GB minimum but below the 16 GB recommendation. Some layers will spill to RAM.

Question 2

What quantization of DeepSeek Coder V2 Lite 16B should I use on a Intel Arc B580?

Accepted Answer

For 12 GB VRAM on the Intel Arc B580, the Q4_K_M variant is the best fit. Estimated ~26.9 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does DeepSeek Coder V2 Lite 16B run on Intel Arc B580?

Accepted Answer

Roughly 26.9 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 B580 is not enough for DeepSeek Coder V2 Lite 16B?

Accepted Answer

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

Can I Run DeepSeek Coder V2 Lite 16B on Intel Arc B580?

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Every DeepSeek Coder V2 Lite 16B quantization on Intel Arc B580