Showing 8 open source projects for "mimo"

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  • 1
    MiMo Code

    MiMo Code

    Where Models and Agents Co-Evolve

    MiMo-Code is a terminal-native AI coding assistant built for real software projects. It can read and edit code, run commands, manage Git, and preserve project knowledge across sessions. The tool includes multiple agent modes, including a build mode for development, a plan mode for read-only analysis, and a compose mode for structured workflows.
    Downloads: 138 This Week
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  • 2
    MiMo Audio

    MiMo Audio

    Audio Language Models are Few-Shot Learners

    MiMo Audio is an open-source audio language model project focused on few-shot learning across speech and audio tasks. It explores how large-scale next-token prediction can help audio models generalize from a few examples or simple instructions. The project includes MiMo-Audio-7B-Base and MiMo-Audio-7B-Instruct, along with a dedicated MiMo-Audio tokenizer.
    Downloads: 0 This Week
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  • 3
    MiMo-V2-Flash

    MiMo-V2-Flash

    MiMo-V2-Flash: Efficient Reasoning, Coding, and Agentic Foundation

    ...The repository typically serves as a launch point for running the model, understanding its intended use cases, and reproducing or extending its evaluation on reasoning and agent-style tasks. In short, MiMo-V2-Flash targets the “high-speed, high-competence” lane for modern LLM applications.
    Downloads: 1 This Week
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  • 4
    MiMo-V2.5-ASR

    MiMo-V2.5-ASR

    Robust Speech Recognition Across Languages, Dialects

    MiMo-V2.5-ASR is an advanced automatic speech recognition system developed as part of Xiaomi’s MiMo AI ecosystem. It is designed to handle complex acoustic environments, including noisy conditions and diverse speaker variations. The model supports multiple languages and dialects, enabling robust transcription across global use cases. It leverages modern deep learning architectures to improve accuracy and adaptability in real-world scenarios.
    Downloads: 0 This Week
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  • 5
    Kun

    Kun

    AI agent workspace with Code and Write modes built into your apps

    ...The application includes a Code workspace for real repositories and a Write workspace for Markdown writing, editing, previewing, and exporting. It uses DeepSeek, Xiaomi MiMo, and MiniMax as its default model combination while still allowing custom providers. Kun includes a local runtime through kun serve, local session storage, tool approvals, permission modes, inline diffs, and change review panels. It is useful for users who want an AI coding environment that treats planning, documentation, implementation, and acceptance review as one continuous workflow.
    Downloads: 29 This Week
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  • 6
    Fuzzy Logic Tools
    Fuzzy Logic Tools (FLT) is a C++ framework for storage, analysis and design of fully general multiple-input multiple-output (MIMO) Takagi-Sugeno fuzzy control systems, without constraints in the order of either the inputs or the output vectors.
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    Downloads: 5 This Week
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  • 7
    MiMo-V2.5

    MiMo-V2.5

    Omnimodal AI model for agents, coding, and long-context tasks

    MiMo-V2.5 is a native omnimodal large language model developed by Xiaomi, designed for advanced agentic workflows, multimodal reasoning, and long-context processing. Built on a Mixture-of-Experts architecture with approximately 309B total parameters and around 15B activated per inference, it balances high capability with efficient execution.
    Downloads: 0 This Week
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  • 8
    MiMo-V2.5-Pro

    MiMo-V2.5-Pro

    Flagship MoE model for long-context agents and complex coding

    MiMo-V2.5-Pro is Xiaomi’s flagship Mixture-of-Experts (MoE) model built for the most demanding agentic, software engineering, and long-horizon reasoning tasks. It features approximately 1.02 trillion total parameters with 42B activated per inference, balancing extreme capability with efficient execution. The model supports a 1 million token context window, enabling it to maintain coherence across long workflows involving thousands of tool calls and multi-step reasoning chains. ...
    Downloads: 0 This Week
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