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native binary for Linux x64 — terminal-native local AI with CUDA GPU acceleration via Ollama","maintainers":[{"name":"seancsutton","email":"seancsutton1@gmail.com"}],"readme":"```\n  ___ ___                             .____    .__  __\n /   |   \\ ___.__.______   ___________|    |   |__|/  |_  ____\n/    ~    <   |  |\\____ \\_/ __ \\_  __ \\    |   |  \\   __\\/ __ \\\n\\    Y    /\\___  ||  |_> >  ___/|  | \\/    |___|  ||  | \\  ___/\n \\___|_  / / ____||   __/ \\___  >__|  |_______ \\__||__|  \\___  >\n       \\/  \\/     |__|        \\/              \\/             \\/\n```\n\n# @hyperlite-ai/linux-x64\n\nNative Linux x64 binary for **HyperLite** — terminal-native local AI, offline and GPU-accelerated.\n\n> **This is a platform binary package.** Install the main package:\n> ```bash\n> npm install -g hyperlite-ai\n> hl\n> ```\n\n→ **[hyperlite.org](https://hyperlite.org)**\n\n---\n\n## About HyperLite\n\nHyperLite is a local AI assistant built in Rust that runs entirely on your hardware. No cloud, no API keys, no telemetry. It auto-installs Ollama with CUDA support on Linux for GPU-accelerated inference, downloads models directly from HuggingFace, and gives the AI full tool access — files, shell, git, web search, PDF reading, CSV analysis, and more.\n\n## This package\n\nContains a single precompiled binary: `hl`\n\n- Format: ELF 64-bit, Linux x86_64, dynamically linked (glibc)\n- Target: `x86_64-unknown-linux-gnu`\n- Compiler: Rust stable\n\n## Requirements\n\n- Linux x64 with glibc 2.17+\n- Node.js 16+ (launcher only — not required to run `hl` directly)\n- GPU acceleration: NVIDIA GPU + CUDA drivers, or AMD GPU + ROCm (CPU fallback available)\n\n## Usage\n\n```bash\nnpm install -g hyperlite-ai\nhl\n```\n\nOn first launch, HyperLite detects your GPU and installs Ollama automatically via `apt`, `pacman`, `dnf`, or `brew` — whichever is available. Models are downloaded from HuggingFace, sized to your hardware.\n\n---\n\n→ **[hyperlite.org](https://hyperlite.org)**\n\n## License\n\nMIT\n","readmeFilename":"README.md"}