Gollama is a Go-based TUI tool for managing Ollama models on macOS/Linux, featuring model listing, metadata display, editing, deletion, and VRAM estimation. It exposes CLI options for listing, searching, editing, unloading, and vRAM analysis, plus configuration via a JSON file.
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What it is
Gollama is a macOS / Linux tool for managing Ollama models. It provides a TUI for listing, inspecting, deleting, copying, and pushing Ollama models. The application allows users to interactively select models, sort, filter, edit, run, unload and perform actions on them using hotkeys.
How it works
Gollama offers a Text User Interface to manage models, with keyboard bindings to perform actions like selection, running, editing, and deleting. It also includes a command-line interface with options for listing, searching, editing, unloading, and vRAM analysis. The vRAM estimator fetches configuration from Hugging Face if needed, computes memory requirements for parameters, activations, and KV cache, and tests quantisation and context length to estimate usage. It can use CUDA vRAM when available or fall back to system RAM for calculations.
Getting started
Configuration is stored in a JSON file at ~/.config/gollama/config.json and includes options for sorting, columns, API keys, log levels, and theme. Installation and build from source are described, including cloning the repo, running go get, make build, and executing ./gollama. The README provides command examples for installation, usage, and editing/modelfile operations:
go install github.com/sammcj/gollama/v2@latest
gollama
gollama -l
gollama -e my-model
gollama --vram llama3.1:8b-instruct-q6_K
Recent releases
Latest releases include:
- v2.0.5 Release (2026-06-14)
- v2.0.4 Release (2025-12-30)
- v2.0.3 Release (2025-12-30)
- v2.0.2 Release (2025-12-30)
- v2.0.1 Release (2025-12-02)
Traction
Stars: 1828 Forks: 109 Open issues: 1 Last push: 2026-07-20
Behind the repo
Linked project appears to be a standalone Go tool for Ollama model management; no startup/company information is provided beyond repository metadata.
Caveats
License: MIT Created: 2024-05-30 Language: Go Topics include ai, ggml, gguf, linux, llm, macos, models, ollama, tui