Showing 14 open source projects for "kimi"

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  • 1
    Kimi K2.5

    Kimi K2.5

    Moonshot's most powerful AI model

    Kimi K2.5 is Moonshot AI’s open-source, native multimodal agentic model built through continual pretraining on approximately 15 trillion mixed vision and text tokens. Based on a 1T-parameter Mixture-of-Experts (MoE) architecture with 32B activated parameters, it integrates advanced language reasoning with strong visual understanding. K2.5 supports both “Thinking” and “Instant” modes, enabling either deep step-by-step reasoning or low-latency responses depending on the task.
    Downloads: 32 This Week
    Last Update:
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  • 2
    Kimi K2

    Kimi K2

    Kimi K2 is the large language model series developed by Moonshot AI

    ...The model family includes variants like a foundational base model that researchers can fine-tune for specific use cases and an instruct-optimized variant primed for general-purpose chat and agent-style interactions, offering flexibility for both experimentation and deployment. With its high-dimensional attention mechanisms and expert routing, Kimi-K2 excels across benchmarks in live coding, math reasoning, and problem solving.
    Downloads: 23 This Week
    Last Update:
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  • 3
    Kimi k1.5

    Kimi k1.5

    Scaling Reinforcement Learning with LLMs

    ...By using techniques like partial rollouts to improve training efficiency and applying sophisticated policy optimization methods, the developers demonstrate that strong ability can emerge without relying on complex solutions like Monte Carlo tree search or value functions. Kimi-k1.5 is trained jointly on text and vision data, giving it true multimodal reasoning capabilities where it can interpret and generate content across modalities in a unified way.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Kimi-Audio

    Kimi-Audio

    Audio foundation model excelling in audio understanding

    Kimi-Audio is an ambitious open-source audio foundation model designed to unify a wide array of audio processing tasks — from speech recognition and audio understanding to generative conversation and sound event classification — within a single cohesive architecture. Instead of fragmenting work across specialized models, Kimi-Audio handles automatic speech recognition (ASR), audio question answering, automatic audio captioning, speech emotion recognition, and audio-to-text chat in one system, enabling developers to build rich, multimodal audio applications without stitching together disparate components. ...
    Downloads: 0 This Week
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  • 5
    Kimi Code CLI

    Kimi Code CLI

    Kimi Code CLI is your next CLI agent

    Kimi CLI is a command-line AI agent that brings an intelligent software development assistant directly into your terminal, helping you with coding tasks, shell operations, and workflow automation without leaving your command prompt. It supports an interactive shell-like user interface where you can chat with the agent, request code edits, run shell commands, and receive contextual suggestions as you work, creating a seamless blend of AI-augmented development and traditional terminal usage. ...
    Downloads: 27 This Week
    Last Update:
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  • 6
    Ollama

    Ollama

    Run models like Kimi-K2.5, GLM-5, DeepSeek, gpt-oss, Gemma, Qwen etc.

    Ollama is an open-source platform that enables developers to run large language models locally on their own machines. It simplifies working with modern AI models by providing a unified interface to download, manage, and interact with them. Users can run models like Llama, Gemma, Qwen, and others directly from the command line or through APIs. Ollama also integrates with popular developer tools and AI agents, allowing seamless workflows across coding environments and applications. It supports...
    Downloads: 524 This Week
    Last Update:
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  • 7
    Mooncake

    Mooncake

    Mooncake is the serving platform for Kimi

    Mooncake is an open-source infrastructure platform designed to optimize large language model serving by focusing on efficient management and transfer of model data and KV cache. The platform was originally developed as part of the serving infrastructure for the Kimi large language model system. Its architecture centers on a high-performance transfer engine that provides unified data transfer across different storage and networking technologies. This engine enables efficient movement of tensors and model data across heterogeneous environments such as GPU memory, system memory, and distributed storage systems. ...
    Downloads: 0 This Week
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  • 8
    Wandesk

    Wandesk

    Give intelligence shape. Let AI sculpt your desktop

    ...Its App Workshop can generate a React UI, backend API, and SQLite storage together, allowing users to create usable local tools without manually writing the whole application. Wandesk is local-first, works without signup, and can connect to providers such as Claude, Codex, DeepSeek, OpenAI, Kimi, Qwen, or any OpenAI-compatible endpoint. Built-in apps include Chat, Notebook, Ledger, Memory, Files, Tasks, Settings, Claude Code, Codex, and Open Source Radar. It is useful for users who want an AI workspace where apps, memory, and coding agents share context instead of living in separate chat threads.
    Downloads: 0 This Week
    Last Update:
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  • 9
    Luna AI

    Luna AI

    Virtual AI anchor that combines state-of-the-art technology

    ...It is built around a core assistant persona called “Luna AI,” which can be driven by a wide range of large language models and platforms, including GPT-style APIs, Claude, LangChain-based backends, ChatGLM, Kimi, Ollama, and many others. The project supports multiple rendering backends for the avatar, such as Live2D, Unreal Engine (UE), and “xuniren,” and can output to streaming platforms like Bilibili, Douyin, Kuaishou, WeChat Channels, Pinduoduo, Douyu, YouTube, Twitch, and TikTok. For voice, it integrates with numerous TTS engines (Edge-TTS, VITS-Fast, ElevenLabs, VALL-E-X, OpenVoice, GPT-SoVITS, Azure TTS, fish-speech, ChatTTS, CosyVoice, F5-TTS, MultiTTS, MeloTTS, and others), and can optionally pass the output through voice conversion systems like so-vits-svc or DDSP-SVC to change timbre.
    Downloads: 8 This Week
    Last Update:
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  • 10
    Ai-Assistant

    Ai-Assistant

    Open-source novel writing & AI coding assistant aggregating top models

    This is an open‑source, powerful novel‑writing and AI programming assistant with the following core strengths: Model Aggregation: Natively supports the latest DeepSeek and seamlessly integrates with top‑tier models such as Gemini, Claude, GPT, Tongyi Qianwen, Kimi, and others—both domestic and international—delivering a one‑stop intelligent experience. Multimodal Capability: Accurately interprets images and PDF content, and supports invoking advanced models for high‑quality text‑to‑image generation. Security & Management: Conversation records are encrypted and stored locally (SQLite), with convenient history search, bookmarking, and categorization. ...
    Downloads: 1 This Week
    Last Update:
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  • 11
    AutoGameKiller
    AutoGameKiller ona verilmiş vaxt intervallarında verilmiş oyun və digər proqramları bağlamaq üçün qurulub. Bir çoxları üçün problem yaratsa da mənə və məncə mənim kimi bir çoxunun işinə yarayacaq.
    Downloads: 0 This Week
    Last Update:
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  • 12
    Kimi K2.6

    Kimi K2.6

    Multimodal agent model for coding, orchestration, and autonomy

    Kimi K2.6 is an open-source native multimodal agentic model built for advanced autonomous execution, long-horizon coding, and large-scale task orchestration. It is designed to handle complex end-to-end software workflows across multiple languages and domains, including front-end development, DevOps, performance optimization, and coding-driven design.
    Downloads: 0 This Week
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  • 13
    Kimi K2.7 Code

    Kimi K2.7 Code

    Coding-focused Kimi model for long-horizon agent workflows

    Kimi K2.7 Code is a coding-focused agentic model built on Kimi K2.6, designed for long-horizon software engineering, autonomous coding workflows, and complex tool-based execution. It improves end-to-end task completion across real-world programming scenarios while reducing thinking-token usage by about 30% compared with K2.6. Architecturally, it uses a 1T-parameter Mixture-of-Experts design with 32B activated parameters, 61 layers, 384 experts, a 256K-token context window, and a MoonViT vision encoder. ...
    Downloads: 0 This Week
    Last Update:
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  • 14
    Azerbaycandaki zeyif media sektorunun inkifına kömek etmek üçün hazırlanan Xeber Skripti. Esas Xususiyyetleri: Çox Dillidir, Müxtelif icazeli çoxlu quruplar ve bu quruplara üzv istifadeçiler, MVC destekli, anket vs kimi xeber sistemlerinde eht
    Downloads: 0 This Week
    Last Update:
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