Showing 4 open source projects for "metadata tool"

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    Gollama

    Gollama

    Go manage your Ollama models

    ...Beyond standard model management, Gollama can display metadata such as size, quantization level, model family, and modification date, which helps users compare models quickly. One of its more distinctive capabilities is a VRAM estimation system that can calculate memory requirements, estimate context limits, and help users choose quantization settings that fit available hardware.
    Downloads: 0 This Week
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  • 2
    tldw Server

    tldw Server

    Your Personal Research Multi-Tool

    tldw-server (mirror) is a mirrored distribution of an open-source backend service designed to store, process, and serve summarized information extracted from long pieces of content. The name “tldw” reflects the phrase “too long; didn’t watch,” which refers to tools that condense lengthy videos, articles, or documents into concise summaries. The server component typically acts as the core infrastructure that manages summaries, metadata, and retrieval operations for client applications or user...
    Downloads: 0 This Week
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  • 3
    Local File Organizer

    Local File Organizer

    An AI-powered file management tool that ensures privacy

    ...The system scans directories, extracts relevant information from files, and restructures folder hierarchies to make content easier to locate and manage. Through AI-driven analysis, the software can detect themes, topics, and metadata in files, allowing it to organize information in ways that traditional rule-based file managers cannot achieve. The tool supports multiple sorting strategies that allow users to categorize files by content, date, or type depending on their workflow preferences.
    Downloads: 3 This Week
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  • 4
    LLM TLDR

    LLM TLDR

    95% token savings. 155x faster queries. 16 languages

    LLM TLDR is a tool that leverages large language models (LLMs) to generate concise, coherent summaries (TL;DRs) of long documents, articles, or text files, helping users quickly understand large amounts of content without reading every word. It integrates with LLM APIs to handle input texts of varying lengths and complexity, applying techniques like chunking, context management, and multi-pass summarization to preserve accuracy even when the source is very large. The system supports both...
    Downloads: 0 This Week
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