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Source channel @TossLabChannel · Post #521 · 1月15日

#青龙更新 青龙 v2.18.1 更新说明 青龙 v2.18.1 发布!本次更新优化功能并修复问题: • 新增功能:内置 QLAPI 增加环境变量和系统通知 API。 • 调整:移除 nedb 和 sentry,不再支持 2.10.x 版本自动迁移。 • 修复:多语言翻译问题改进。 更新方法: • 面板更新:系统设置 -> 其他设置 -> 检查更新 • 容器内更新:执行 ql update • Debian 用户:直接同步更新。 • 宿主机更新:运行命令 docker run --rm -v /var/run/docker.sock:/var/run/docker.sock containrrr/watchtower -cR <容器名> 版本镜像: • 正式版:whyour/qinglong:latest • Python3.10 正式版:whyour/qinglong:python3.10 • Debian 版:whyour/qinglong:debian • Python3.10 Debian 版:whyour/qinglong:debian-python3.10 • NPM 安装:npm i -g @whyour/qinglong 📢 群聊: @TossLab 🎈 频道: @TossLabChannel ❗️ ❗️ ❗️ ❗️ ❗️ ❗️ ❗️ ❗️ 🔘折腾系列频道 - 全面介绍 🔘境外离岸银行教程合集目录 🔘折腾实验室优质Github项目合集

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

👥 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

Crypto M - Crypto News

@CryptoM · Post #64634 · 2026/04/09 12:14

🚀 AI TRENDS | Tether Launches QVAC SDK for Cross-Platform AI Development Tether has introduced the QVAC SDK, a unified software development kit designed to enable developers to build, run, and fine-tune AI applications directly on any device. According to Foresight News, this SDK ensures consistency across different environments. Applications developed using the QVAC SDK can seamlessly operate on platforms such as iOS, Android, Windows, macOS, and Linux. The same codebase can function across all supported environments without the need for platform-specific branches, rewrites, or conditional logic. The QVAC SDK is built on QVAC Fabric, a branch of llama.cpp, offering broad compatibility with the llama.cpp model ecosystem for text generation, embedding, and multimodal workloads. #AI#SDK#CrossPlatform#MachineLearning#LlamaCpp#SoftwareDevelopment#Multimodal#QVAC

GitHub Trends

@githubtrending · Post #14907 · 2025/07/03 13:30

#python#agents#generative_ai_tools#llamacpp#llm#onnx#openvino#parsing#retrieval_augmented_generation#small_specialized_models llmware is a powerful, easy-to-use platform that helps you build AI applications using small, specialized language models designed for business tasks like question-answering, summarization, and data extraction. It supports private, secure deployment on your own machines without needing expensive GPUs, making it cost-effective and safe for enterprise use. You can organize and search your documents, run smart queries, and combine knowledge with AI to get accurate answers quickly. It also offers many ready-to-use models and examples, plus tools for building chatbots and agents that automate complex workflows. This helps you save time, improve accuracy, and securely leverage AI for your business needs[1][3][5]. https://github.com/llmware-ai/llmware