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Source channel @githubtrending · Post #14974 · Jul 19

#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp

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AppPie

@AppPie · Post #2291 · 12/31/2024, 04:02 AM

#Developers Shortest: AI 驱动的自然语言测试框架 🔗GitHub Shortest 是一个基于 Playwright 的端到端测试框架,允许你用自然语言编写测试用例,由 AI 处理具体实现。 主要特点 • 自然语言测试:用日常语言描述测试场景 • AI 驱动执行:使用 Claude API 处理测试实现 • Playwright 基础:稳定可靠的测试执行 • GitHub 集成:支持双因素认证 • 邮件验证:集成 Mailosaur 开源许可证 MIT license。 #GitHub#OpenSource#Testing#AutomatedTesting#AI#Playwright 📮 频道 @AppPie​​​​​​​​​​​​​​​​