Gollama is a macOS and Linux tool for managing Ollama models through an interactive terminal-based interface. It provides a TUI that lets users list, inspect, sort, filter, edit, run, unload, copy, rename, delete, and push models from one place rather than relying entirely on manual command-line workflows. The project is aimed at developers and local AI users who frequently work with multiple Ollama models and want a more efficient operational layer for everyday maintenance. 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.

Features

  • Interactive TUI for model management
  • Sorting and filtering across model metadata
  • Modelfile editing with external editor support
  • Run and unload operations for models
  • Copy, rename, delete, and registry push actions
  • VRAM estimation for memory and context planning

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow Gollama

Gollama Web Site

Other Useful Business Software
Full-stack observability with actually useful AI | Grafana Cloud Icon
Full-stack observability with actually useful AI | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Create free account
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Gollama!

Additional Project Details

Programming Language

Go

Related Categories

Go Large Language Models (LLM)

Registered

2026-03-06