Models and Cookbook

Pick the right model before judging Odysseus.

A weak or mismatched local model can make any agent workspace feel broken. Start with a model that fits your memory, context needs, and latency tolerance.

Rule of thumb

Use smaller models first to validate the app. Increase model size only after chat, tools, and memory are stable.

8 GB VRAM

Small local testing

Use compact instruct models for chat, settings validation, and simple tool calls.

12-16 GB VRAM

Balanced agents

Try stronger 7B to 14B class models for planning, summaries, and coding help.

24 GB+ VRAM

Heavy workflows

Use larger models for deeper reasoning, longer context, and multi-step agent tasks.

Ollama setup

Connect Odysseus to a local model server

Ollama is a common starting point because it simplifies pulling and serving local models. After pulling a model, confirm it appears in Ollama before debugging Odysseus.

ollama pull qwen2.5:7b
ollama run qwen2.5:7b
ollama list

If the model does not show inside Odysseus, check the endpoint URL, container networking, and whether Odysseus is running inside Docker while Ollama is running on the host.

Open the full Ollama setup guide