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Source channel @olddriverGDstudy · Post #53 · Mar 24

#知识#接吻 第一式:舔吻 用舌舔对方的上下唇,让对方感受舌部味蕾舔掠的感觉,注意要保持唾液的充分,如果唾液太少,干燥的舔吻会有不舒服的感觉。 第二式:咬吻 用牙齿轻咬对方的唇,但别咬的太用力,以免受伤喔! 第三式:吸吻 轻轻的吸吮对方的唇部;可用自己的唾液轻抹在对方的唇部,然后吸吮干净。 第四式:推动吻 把舌伸进对方口中,让舌与舌互相推放,男生力气应放小,以免女生疼痛;这种互推吻可形成快感。 第五式:吸舌吻 以你的唇含住他的舌,轻轻的吸吮对方的舌头,动作宜缓慢而轻柔,勿过于仓促。 第六式:齿龈吻 用舌探索对方的牙及牙龈的内外两侧,以刺激口内粘膜为目的。动作要仔细,慢,轻柔的介于碰触与不碰触之间,以产生一种特殊的亲密感。 第七式:滑动吻 用舌尖稍用力的舔对方的舌部内侧,由里向外滑舔。 第八式:舔舌吻 双方以舌对舌互舔,以用舌尖为主,不用唇。 第九式:嚼食之吻 咬住对方的舌头,似欲吞食般的吻;请小心别用力过火,只是假装而已。想像对方的舌头是好吃的东西,又咬又舔又吸的想吞进肚子里去。 第十式:律动之吻 以舌在对方的口中,有节奏律动般的的绕着对方的舌尖,画圈似的舔吻。 第十一式:深喉咙吻 将舌深入对方的喉咙重舔。重压,是霸道占有般的吻;这是一种颇不舒服的吻法,但还是有乐在其中的人。 第十二式:热情之吻 将自己的舌把对方的舌包卷于口中,上下左右回旋翻动,用放肆的旋动来增加快感,虽嫌粗鲁但颇具挑战性,是接吻高手必备的技巧之一。 第十三式:甘泉之吻 利用两唇相接时……以舌将自己的唾液渡入对方口中,并吸食对方的唾液。适用于两情相悦且身体健康的爱侣,会觉入口之唾液为琼浆玉液般,世间独有。

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

👥 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 · 04/09/2026, 12:14 PM

🚀 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 · 07/03/2025, 01:30 PM

#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