Expired50% confidenceBenchmarkExact time
After INT4 quantization, the Qwen3-0.6B model file is only about 400 MB, retains approximately 95% of baseline capability, and an ordinary laptop CPU can achieve a generation speed of 10–30 tokens per second.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/9/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/7/2026(expired)
Sources
Related Claims
UnverifiedRunning the Qwen3.6 27B model on a GPU with 24 GB of VRAM, the generation speed reaches approximately 40 tokens per second without optimization, and 50–60 tokens/s after optimization.84% similarUnverifiedOn high-performance laptops, quantized Gemma models can achieve token generation speeds of 20–50 tokens per second; pure CPU inference is approximately 5–15 tokens/second, and INT4 quantization on NVIDIA RTX 4060/4070 can boost inference speed by 3–5 times.78% similarUnverifiedThe Qwen3.6 35B model achieved a generation speed of 86.7 tokens/s on oMLX with MTP technology, with a prompt processing speed of 1,735 tokens/s.76% similarUnverifiedOn an M4 24GB device, a 9B model (such as qwen3.5-32k:9b-mlx) runs fast with low memory usage, but is unable to effectively identify code issues.76% similarUnverifiedWhen running at 1-bit precision on an M2 Max equipped with 96GB of VRAM, generation speed for simple tasks is consistently around 28–30 tokens/second75% similar
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