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Source channel @githubtrending · Post #15435 · Jan 25

#shell#archlinux#baby_sched#cachy#cachy_scheduler#cachyos#cacule_sched#kernel#linux_kernel#performance#performance_tuning CachyOS offers enhanced Linux kernels with schedulers like BORE for gaming, EEVDF for general use, and BMQ, plus variants for security, servers, real-time, and Steam Deck. They include advanced optimizations like LTO, profile-guided compilation, AMD P-State boosts, ZFS/NVIDIA support, and CPU-specific builds (x86-64-v3/v4, Zen4). Easy repo install auto-detects your CPU for top performance. This boosts your system's speed, responsiveness, and efficiency on modern hardware, making gaming, daily tasks, and heavy workloads smoother and faster. https://github.com/CachyOS/linux-cachyos

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@JianjiaoPD · Post #9506 · 10/04/2025, 10:01 AM

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👥 KoboldCpp | 本地大模型一站式工具刚开始在本地跑大模型，往往要折腾环境依赖、库文件兼容，体验极其繁琐。后来虽然有了 Ollama、llama.cpp 这类工具简化部署，但功能单一。KoboldCpp 在此基础上走得更远：既继承了 llama.cpp 的高效推理，又保持了 Ollama 式的简单易用，只需下载一个可执行文件，就能直接运行它不仅支持 CPU/GPU 双模式，还额外集成了图像生成、语音识别、文字转语音等多模态 AI 功能，并且兼容 OpenAI、Ollama 等主流 API，能无缝接入现有服务。跨平台支持 Windows、macOS、Linux，真正做到了开箱即用，对想要体验多功能本地大模型的用户来说非常友好 😎小编有话说：装环境那套折磨人，这玩意儿就是“懒人直装版” 👩‍💻KoboldCpp 标签：#KoboldCpp#大模型#本地部署#llamacpp#Ollama#AI 🗓@xiuerSearch 搜索历史资源 ✈️频道 | 💬群聊 | 📱中文包

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#koboldcpp #大模型 #本地部署 #llamacpp #ollama #ai