{
 "schema_version": 1,
 "generated": "2026-10-31",
 "id": "l-forster-open-jet--use-ollama-or-lm-studio-models-in-openjet",
 "repo": "L-Forster/open-jet",
 "repo_url": "https://github.com/L-Forster/open-jet",
 "repo_slug": "l-forster-open-jet",
 "title": "Use your existing Ollama or LM Studio models in OpenJet",
 "page_title": "How to use your existing Ollama or LM Studio models in OpenJet with Open Jet",
 "summary": "Install the cloud extra and add a model profile pointing at your own OpenAI-compatible server.",
 "who": "Someone who already runs Ollama or LM Studio and wants OpenJet's agent on top.",
 "problem": "Downloading another copy of the same model for a new tool wastes disk and setup time.",
 "outcome": "OpenJet using a model served by Ollama, LM Studio or your own llama-server.",
 "steps": [
  "Run `pipx install 'open-jet[cloud]'`",
  "Run `openjet --status` to find config.yaml",
  "Add a model_profiles entry with runtime litellm, provider openai-compatible and your base_url, for example http://127.0.0.1:11434/v1 for Ollama",
  "Select it in OpenJet with /model and the profile name",
  "Note that OpenJet's hardware tuning and CUDA engine do not apply to external servers"
 ],
 "agent_prompt": "Configure L-Forster/open-jet to use my Ollama model <model> through a model_profiles entry in config.yaml, select it with /model, and run <task> in <repo>.",
 "agents": [
  "any"
 ],
 "difficulty": "Beginner",
 "time": "15 minutes",
 "basis": "readme",
 "caveat": "This card is written from the L-Forster/open-jet README, not from a test run by Deduped. Before you start, make sure you have Linux with an NVIDIA RTX 30, 40 or 50 GPU with 24 GB+ and CUDA 12+ for the megakernel. Check the repo for newer instructions before you rely on these steps.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "Linux with an NVIDIA RTX 30, 40 or 50 GPU with 24 GB+ and CUDA 12+ for the megakernel; other hardware uses llama.cpp",
  "Recommended: 14 GB+ VRAM or Apple silicon with 24 GB+; CPU-only works",
  "pipx"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/l-forster-open-jet/use-ollama-or-lm-studio-models-in-openjet/",
 "md": "https://dedupedai.com/use-cases/l-forster-open-jet/use-ollama-or-lm-studio-models-in-openjet/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/l-forster-open-jet--use-ollama-or-lm-studio-models-in-openjet.json",
 "api_version": "v1"
}