对五款无审查的Qwen3.5-9B模型的评测表明，即使经过修改，仍有一款模型拒绝处理其声称能处理的71%的提示。该基准测试在M5 Mac上进行，每个模型使用115个提示，评估其本地性能。 AI
影响 强调了无审查模型在本地部署中潜在的局限性。
排序理由 对模型在特定硬件上的性能分析。[lever_c_demoted from research: ic=1 ai=1.0]
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
Qwen3.5-9B模型在Mac本地基准测试中表现不一
本文如何被排名
- Signal score
- 20 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Tool
- 对模型在特定硬件上的性能分析。[lever_c_demoted from research: ic=1 ai=1.0]
- Source corroboration
- Single-source cluster
- Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
- Topics
- model release, product
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- High
- Clearly on-topic for AI-industry coverage.
- Story freshness
- Breaking (< 6h)
- Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.
完整方法见我们的编辑标准。
报道来源 [1]
-
2026年可在Mac本地运行的5款最佳无审查Qwen模型。
<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/5-best-uncensored-qwen-models-you-can-run-locally-on-a-mac-in-2026-ab0e39f2ecd2?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/2600/1*EVpv6SW8HbmX3m8vnfXe5…