Q: What quantization of Yi 1.5 6B should I use on a NVIDIA GeForce GTX 1650?

For 4 GB VRAM on the NVIDIA GeForce GTX 1650, the Q4_K_M variant is the best fit. Estimated ~12 tokens/sec on the Q4_K_M quantization.

Q: How fast does Yi 1.5 6B run on NVIDIA GeForce GTX 1650?

Roughly 12 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 1650 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 1650?

Accepted Answer

Sort of — NVIDIA GeForce GTX 1650 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 (4 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 1650?

Accepted Answer

For 4 GB VRAM on the NVIDIA GeForce GTX 1650, the Q4_K_M variant is the best fit. Estimated ~12 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does Yi 1.5 6B run on NVIDIA GeForce GTX 1650?

Accepted Answer

Roughly 12 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 1650 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 1650?

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Every Yi 1.5 6B quantization on NVIDIA GeForce GTX 1650

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