Showing 11 open source projects for "android version 5"

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  • 1
    MiniMax-M2.5

    MiniMax-M2.5

    State of the art LLM and coding model

    MiniMax-M2.5 is a state-of-the-art foundation model extensively trained with reinforcement learning across hundreds of thousands of real-world environments. It delivers leading performance in coding, agentic tool use, search, and complex office workflows, achieving top benchmark scores such as 80.2% on SWE-Bench Verified and 76.3% on BrowseComp. Designed to reason efficiently and decompose tasks like an experienced architect, M2.5 plans features, structure, and system design before...
    Downloads: 2 This Week
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  • 2
    GLM-4.5

    GLM-4.5

    GLM-4.5: Open-source LLM for intelligent agents by Z.ai

    GLM-4.5 is a cutting-edge open-source large language model designed by Z.ai for intelligent agent applications. The flagship GLM-4.5 model has 355 billion total parameters with 32 billion active parameters, while the compact GLM-4.5-Air version offers 106 billion total parameters and 12 billion active parameters. Both models unify reasoning, coding, and intelligent agent capabilities, providing two modes: a thinking mode for complex reasoning and tool usage, and a non-thinking mode for...
    Downloads: 22 This Week
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  • 3
    DSH Desktop

    DSH Desktop

    A modern desktop solution built for the DeepSeek Harness (DSH) plugin

    ...An integrated community marketplace supports discovering, installing, and managing compatible plugins. Users can also remotely launch tasks and monitor agent progress from iOS or Android devices. The project runs a pinned upstream Harness version without modifying its core source.
    Downloads: 32 This Week
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  • 4
    Kitten TTS

    Kitten TTS

    State-of-the-art TTS model under 25MB

    KittenTTS is an open-source, ultra-lightweight, and high-quality text-to-speech model featuring just 15 million parameters and a binary size under 25 MB. It is designed for real-time CPU-based deployment across diverse platforms. Ultra-lightweight, model size less than 25MB. CPU-optimized, runs without GPU on any device. High-quality voices, several premium voice options available. Fast inference, optimized for real-time speech synthesis.
    Downloads: 6 This Week
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  • 5
    Qwen2.5-Coder

    Qwen2.5-Coder

    Qwen2.5-Coder is the code version of Qwen2.5, the large language model

    Qwen2.5-Coder, developed by QwenLM, is an advanced open-source code generation model designed for developers seeking powerful and diverse coding capabilities. It includes multiple model sizes—ranging from 0.5B to 32B parameters—providing solutions for a wide array of coding needs. The model supports over 92 programming languages and offers exceptional performance in generating code, debugging, and mathematical problem-solving. Qwen2.5-Coder, with its long context length of 128K tokens, is...
    Downloads: 32 This Week
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  • 6
    StudioOllamaUI

    StudioOllamaUI

    StudioOllamaUI is a local, portable interface for Ollama

    StudioOllamaUI: Portable .The easiest way to run local AI Do you want to use AI but don't know what Docker is? Does the terminal scare you? StudioOllamaUI is for you. Zero Installation: Works on a fresh Windows installation. No Python, no libraries, no drama. 100% Portable: Just like a portable browser. Unzip, run, and that's it. It doesn't clutter your registry or leave traces on your disk. AI for Everyone: No expensive GPU? No problem. Optimized to run smoothly on your CPU...
    Downloads: 14 This Week
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  • 7
    TN 365 Maia 2026 et Mint-KDE

    TN 365 Maia 2026 et Mint-KDE

    Distribution TN 365 KDE moderne et stable !

    🇫🇷 TechNews365 OS Essentials – Édition KDE / (Base KDE Néon ou Mint-KDE) 2 ISO pour 2 environnements différents ! TechNews365 OS Essentials est une distribution Linux moderne, rapide et légère, basée sur KDE Néon et Mint-KDE . Elle offre une expérience simple, propre et optimisée pour le quotidien : KDE optimisé TN365 Thème Maia Transparent et icônes personnalisés Applications Essentielles incluse Radios, jeux légers, outils multimédia Calamares (installation...
    Downloads: 3 This Week
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  • 8
    Leanstral 1.5

    Leanstral 1.5

    Open code agent for Lean 4 proofs and formal software verification

    Leanstral 1.5 119B A6B is an open-source code agent model from Mistral AI designed specifically for Lean 4, a proof assistant used to express and verify complex mathematical objects and formal software specifications. Built as part of the Mistral Small 4 family, it combines multimodal capabilities with an efficient Mixture-of-Experts architecture containing 119B total parameters and 6.5B activated per token. The model uses 128 experts with four active for each token and supports a 256K-token...
    Downloads: 0 This Week
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  • 9
    bge-small-en-v1.5

    bge-small-en-v1.5

    Compact English sentence embedding model for semantic search tasks

    BAAI/bge-small-en-v1.5 is a lightweight English sentence embedding model developed by the Beijing Academy of Artificial Intelligence (BAAI) as part of the BGE (BAAI General Embedding) series. Designed for dense retrieval, semantic search, and similarity tasks, it produces 384-dimensional embeddings that can be used to compare and rank sentences or passages. This version (v1.5) improves similarity distribution, enhancing performance without the need for special query instructions. The model...
    Downloads: 0 This Week
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  • 10
    bge-base-en-v1.5

    bge-base-en-v1.5

    Efficient English embedding model for semantic search and retrieval

    bge-base-en-v1.5 is an English sentence embedding model from BAAI optimized for dense retrieval tasks, part of the BGE (BAAI General Embedding) family. It is a fine-tuned BERT-based model designed to produce high-quality, semantically meaningful embeddings for tasks like semantic similarity, information retrieval, classification, and clustering. This version (v1.5) improves retrieval performance and stabilizes similarity score distribution without requiring instruction-based prompts. With...
    Downloads: 0 This Week
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  • 11
    DeepSeek-V3.2-Speciale

    DeepSeek-V3.2-Speciale

    High-compute ultra-reasoning model surpassing model surpassing GPT-5

    ...It builds on the DeepSeek Sparse Attention (DSA) framework, delivering dramatically improved long-context efficiency while preserving full model quality. Unlike the standard version, Speciale is tuned exclusively for deep reasoning and therefore does not support tool-calling, focusing its full capacity on pure cognitive performance. The model uses a scaled reinforcement learning framework that allows it to surpass GPT-5 in several evaluations and reach reasoning performance comparable to Gemini-3.0-Pro. DeepSeek-V3.2-Speciale contributed to gold-medal solutions in the 2025 IMO, IOI, ICPC World Finals, and CMO, demonstrating its ability to handle elite-level problem solving. ...
    Downloads: 0 This Week
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