📰 2026-04-06 06:00 更新
🔸 Running Gemma 4 locally with LM Studio’s new headless CLI and Claude Code / 使用LM Studio的全新无头CLI和Claude Code在本地运行Gemma 4
🔗 Running Gemma 4 locally with LM Studio’s new headless CLI and Claude Code
🔥 99 points
原文:
Cloud AI APIs are great until they are not. Rate limits, usage costs, privacy concerns, and network latency all add up. For quick tasks like code review, drafting, or testing prompts, a local model that runs entirely on your hardware has real advantages: zero API costs, no data leaving your machine, and consistent availability.Google’s Gemma 4 is interesting for local use because of its mixture-of-experts architecture. The 26B parameter model only activates 4B parameters per forward pass, whi…
译文:
云AI API很棒，除非它们不是。速率限制、使用成本、隐私问题和网络延迟加在一起。对于代码审核、草稿或测试提示等快速任务，完全在硬件上运行的本地模型具有真正的优势：零API成本，没有数据离开您的机器，以及一致的可用性。Google的Gemma 4因其混合的专家架构而在本地使用很有趣。26B参数模型ONL y激活每个正向传递的4B参数，同时…
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