Unverified50% confidenceFactExact time
On a Windows machine with 8 GB of RAM, qwen2.5-coder:7b is likewise very slow.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/20/2026
First Seen
Valid until: 1/18/2027
Sources
Related Entities
Related Claims
UnverifiedOn 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% similarUnverifiedAlibaba's Qwen2.5 series performs prominently on Chinese language understanding and code tasks, and the 7B quantized version can run smoothly on devices with 8GB of VRAM.71% similarUnverifiedNo-padding training reduces Qwen3-0.6B's VRAM usage from 5.45 GB to 1.87 GB, with a per-step speed improvement of 5 to 8 times.71% similarUnverifiedOn a single RTX PRO 6000, peak VRAM for Qwen3.8-27B-NVFP4 dropped from 72.9 GB to 40.2 GB, and per-step time was reduced by approximately 11%71% 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.69% similar
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