Unverified50% confidenceBenchmarkExact time
The Qwen model used in the video test is the 9-billion-parameter version, with a download size of approximately 7.5 GB and a maximum context window of approximately 260,000 tokens.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/11/2026
First Seen
Valid until: 1/9/2027
Sources
Related Entities
Related Claims
UnverifiedThe Qwen Coder series is open-sourced by Alibaba Cloud, with parameter counts ranging from 500 million to 32 billion; the 7B and 14B versions can run smoothly on an ordinary laptop with 16GB of memory.76% similarUnverifiedQwen2 7B模型（70亿参数）运行约需6GB显存75% similarUnverifiedAfter quantization, the VRAM requirement of a 7-billion-parameter model is compressed from approximately 28 GB to approximately 4–6 GB, allowing consumer-grade GPUs such as the RTX 3060/4060 to run 7-billion-parameter-class models like Llama 3, Qwen2.5, and Mistral smoothly.73% similarUnverifiedQwen2 0.5B模型（5亿参数）运行仅需约352MB显存72% similarUnverifiedThe Qwen 9B text test process has a peak memory usage of approximately 6.5 GB, while the peak memory usage spikes to approximately 10.8 GB when the vision module runs image tests.71% similar
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