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Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model with 32 billion activated parameters and 1 trillion total parameters. Trained with the Muon optimizer, Kimi K2 achieves exceptional performance across frontier knowledge, reasoning, and coding tasks while being meticulously optimized for agentic capabilities.
米哈游绝区零主题的个人博客前端页面. Contribute to Yang-ZhiHang/z-blog development by creating an account on GitHub.
The GitHub MCP Server connects AI tools directly to GitHub's platform. This gives AI agents, assistants, and chatbots the ability to read repositories and code files, manage issues and PRs, analyze code, and automate workflows. All through natural language interactions. Repository Management: Browse ...
5 ngày trước · GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Our 3B model outperforms Llama 3.2 3B and Qwen2.5 3B while staying competitive with larger 4B alternatives (Qwen3 & Gemma3). Beyond the performance numbers, we're sharing exactly how we built it using public datasets and training frameworks. Ressources: SmolLM3-Base SmolLM3 blog Summary: 3B model trained on 11T tokens, SoTA at the 3B scale and competitive with 4B …
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A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization. - google/langextract
24 thg 5, 2023 · Please check out our blog post here. [2024/06] We hosted the fourth vLLM meetup with Cloudflare and BentoML! Please find the meetup slides here. [2023/08] We would like to express our sincere gratitude to Andreessen Horowitz (a16z) for providing a generous grant to support the open-source development and research of vLLM.
18 thg 6, 2025 · GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
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