Question 1

Can I run Qwen3 0.6B on a NVIDIA GeForce GTX 1080?

Accepted Answer

Yes — NVIDIA GeForce GTX 1080 runs Qwen3 0.6B fully on GPU at the FP16 quantization. Full GPU inference — 8 GB VRAM meets the 1.6 GB recommendation.

Question 2

What quantization of Qwen3 0.6B should I use on a NVIDIA GeForce GTX 1080?

Accepted Answer

For 8 GB VRAM on the NVIDIA GeForce GTX 1080, the FP16 variant is the best fit. Estimated ~266.7 tokens/sec on the FP16 quantization.

Question 3

How fast does Qwen3 0.6B run on NVIDIA GeForce GTX 1080?

Accepted Answer

Roughly 266.7 tokens/sec for FP16. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if NVIDIA GeForce GTX 1080 is not enough for Qwen3 0.6B?

Accepted Answer

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

Quantization	File Size	Min VRAM	Rec VRAM	Context	Verdict	Estimated tok/s
Q4_K_M	0.3 GB	0.3 GB	0.4 GB	8K / 8K	Full GPU	~853.3
Q5_K_M	0.4 GB	0.5 GB	0.5 GB	8K / 8K	Full GPU	~695.7
Q8_0	0.6 GB	0.7 GB	0.8 GB	8K / 8K	Full GPU	~507.9
FP16Best fit	1.2 GB	1.4 GB	1.6 GB	8K / 8K	Full GPU	~266.7

Can I Run Qwen3 0.6B on NVIDIA GeForce GTX 1080?

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