Apocrypha

ollama-bin

Get up and running with large language models locally

Ollama is a tool for running large language models (LLMs) locally on your machine. It provides a simple interface to download, run, and manage models like Llama 3.2, Mistral, Gemma, and many others. This is a binary distribution package that installs pre-built binaries from the official Ollama releases. The binaries are provided under the MIT license and include GPU acceleration support for both NVIDIA (CUDA) and AMD (ROCm) graphics cards. Key features: - Easy model management with pull, push, and create commands - Built-in API server for programmatic access - GPU acceleration support (CUDA and ROCm) - Efficient memory management with automatic model loading/unloading - Support for multiple models and concurrent requests - Compatible with OpenAI API format Models are stored in /var/lib/ollama and can range from 2GB (3B parameters) to 40GB+ (70B parameters) in size. GPU acceleration significantly improves inference speed but requires compatible hardware. Security Note: This package installs pre-compiled binaries. Security hardening features (ASLR, PIE, stack protections) depend on upstream's build configuration. The service runs as a dedicated 'ollama' user with restricted permissions for defense in depth.

Available in

OverlayNewestEbuildsLast activity
bentoo GitHub ↗ 0.32.4 1 25 h details ›
guru gitweb ↗ 0.31.1 1 2 d details ›
pingwho-overlay GitHub ↗ 0.32.3 5 3 d details ›

Versions & arches

VersionOverlay amd64arm64 Committed
9999 LIVE pingwho-overlay follows upstream — no keywords 6 d view · download · history ↗
0.32.4 bentoo amd64 testing arm64 testing 2 d view · download · history ↗
0.32.3 pingwho-overlay amd64 untested arm64 untested 3 d view · download · history ↗
0.31.2 pingwho-overlay amd64 untested arm64 untested 18 d view · download · history ↗
0.31.1 guru amd64 testing arm64 untested view · download · history ↗
0.30.11 pingwho-overlay amd64 untested arm64 untested 31 d view · download · history ↗
0.24.0 pingwho-overlay amd64 untested arm64 untested 2 mo view · download · history ↗

Use flags of 0.32.4

  • cuda Enable NVIDIA CUDA GPU acceleration support. Requires compatible NVIDIA GPU (compute capability 6.0+, Pascal architecture or newer) and nvidia-cuda-toolkit. Significantly improves inference performance for large models.
  • rocm Enable AMD ROCm GPU acceleration support. Requires compatible AMD GPU (Radeon RX 6000 series or newer, or Radeon VII) and ROCm libraries. May require HSA_OVERRIDE_GFX_VERSION environment variable for optimal compatibility. This is experimental and not all GPU models are supported.
  • systemd Enable use of systemd-specific libraries and features like socket activation or session tracking

Runtime dependencies of 0.32.4

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