Q: What quantization of StarCoder2 15B should I use on a Intel Arc A580?

For 8 GB VRAM on the Intel Arc A580, the Q8_0 variant is the best fit. Estimated ~10 tokens/sec on the Q8_0 quantization.

Q: How fast does StarCoder2 15B run on Intel Arc A580?

Roughly 10 tokens/sec for Q8_0. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Q: What if Intel Arc A580 is not enough for StarCoder2 15B?

Consider upgrading to AMD Radeon RX 7900 XT (20 GB VRAM) which fits the recommended 20 GB target. Or pick a smaller quantization to stay on your current card.

Question 1

Can I run StarCoder2 15B on a Intel Arc A580?

Accepted Answer

Sort of — Intel Arc A580 can run StarCoder2 15B (Q8_0) only by spilling layers to RAM. Generation will be slow. CPU + GPU hybrid — not enough VRAM (8 GB < 17.5 GB min), but 64 GB RAM is sufficient. Expect significantly slower inference.

Question 2

What quantization of StarCoder2 15B should I use on a Intel Arc A580?

Accepted Answer

For 8 GB VRAM on the Intel Arc A580, the Q8_0 variant is the best fit. Estimated ~10 tokens/sec on the Q8_0 quantization.

Question 3

How fast does StarCoder2 15B run on Intel Arc A580?

Accepted Answer

Roughly 10 tokens/sec for Q8_0. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if Intel Arc A580 is not enough for StarCoder2 15B?

Accepted Answer

Consider upgrading to AMD Radeon RX 7900 XT (20 GB VRAM) which fits the recommended 20 GB target. Or pick a smaller quantization to stay on your current card.

Quantization	File Size	Min VRAM	Rec VRAM	Context	Verdict	Estimated tok/s
Q4_K_M	9 GB	10.5 GB	12 GB	4K / 16K	Hybrid CPU+GPU	~15
Q8_0Best fit	16 GB	17.5 GB	20 GB	4K / 16K	Hybrid CPU+GPU	~10

Can I Run StarCoder2 15B on Intel Arc A580?

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Every StarCoder2 15B quantization on Intel Arc A580

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