Q: What quantization of Yi 1.5 6B should I use on a NVIDIA GeForce GTX 1060 3GB?

For 3 GB VRAM on the NVIDIA GeForce GTX 1060 3GB, the Q4_K_M variant is the best fit. Estimated ~16 tokens/sec on the Q4_K_M quantization.

Q: How fast does Yi 1.5 6B run on NVIDIA GeForce GTX 1060 3GB?

Roughly 16 tokens/sec for Q4_K_M. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Q: What if NVIDIA GeForce GTX 1060 3GB is not enough for Yi 1.5 6B?

Consider upgrading to NVIDIA GeForce RTX 4050 Laptop (6 GB VRAM) which fits the recommended 6 GB target. Or pick a smaller quantization to stay on your current card.

Question 1

Can I run Yi 1.5 6B on a NVIDIA GeForce GTX 1060 3GB?

Accepted Answer

Sort of — NVIDIA GeForce GTX 1060 3GB can run Yi 1.5 6B (Q4_K_M) only by spilling layers to RAM. Generation will be slow. CPU + GPU hybrid — not enough VRAM (3 GB < 4.5 GB min), but 64 GB RAM is sufficient. Expect significantly slower inference.

Question 2

What quantization of Yi 1.5 6B should I use on a NVIDIA GeForce GTX 1060 3GB?

Accepted Answer

For 3 GB VRAM on the NVIDIA GeForce GTX 1060 3GB, the Q4_K_M variant is the best fit. Estimated ~16 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does Yi 1.5 6B run on NVIDIA GeForce GTX 1060 3GB?

Accepted Answer

Roughly 16 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 NVIDIA GeForce GTX 1060 3GB is not enough for Yi 1.5 6B?

Accepted Answer

Consider upgrading to NVIDIA GeForce RTX 4050 Laptop (6 GB VRAM) which fits the recommended 6 GB target. Or pick a smaller quantization to stay on your current card.

Can I Run Yi 1.5 6B on NVIDIA GeForce GTX 1060 3GB?

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Every Yi 1.5 6B quantization on NVIDIA GeForce GTX 1060 3GB

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