{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "mw00-project-maya--private-local-coding-api",
 "repo": "mw00/project-maya",
 "repo_url": "https://github.com/mw00/project-maya",
 "repo_slug": "mw00-project-maya",
 "title": "Run a private coding-agent model on your own GPU",
 "page_title": "How to run a private coding-agent model on your own GPU with Project Maya",
 "summary": "Serve GLM-5.3-Flash locally so coding tools call it through an OpenAI- or Anthropic-compatible API.",
 "who": "A developer whose team cannot send source code to a hosted model provider, and who already has a capable GPU PC.",
 "problem": "Hosted model APIs send your code and prompts off the machine, and your coding tools expect a standard API.",
 "outcome": "A local server that answers API requests from your existing tools, with tool calls, and no prompts leaving your PC.",
 "steps": [
  "Clone the repo and run `./setup.sh --setup`, then pick the model the setup recommends for your PC (Maya-S is the default).",
  "Run `./maya.sh --bench` to confirm the model runs and see your decode and prefill speeds.",
  "Start the local server through the setup or maya.sh and note the address it reports. (inferred, check the README)",
  "Point your OpenAI- or Anthropic-compatible client at that address and send one test request with a tool call. (inferred, check the README)"
 ],
 "agent_prompt": "Use the GitHub repo mw00/project-maya. Set up a local GLM-5.3-Flash server on <target machine> using ./setup.sh --setup and ./maya.sh --bench, then send one OpenAI-compatible chat request with a tool definition to the local server. Expected output: the benchmark results and a valid chat response containing a tool call. Verify that the request was answered by the local server and not a remote API.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "3 hours",
 "basis": "readme",
 "caveat": "The README lists Maya-S as 96.5 GB and says the setup recommends a model for your PC, so check your RAM and VRAM before you start the download.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "c++",
 "requirements": [
  "A PC with one or more NVIDIA or AMD GPUs, running Linux or Windows (AMD and Windows are marked experimental in the README)",
  "Enough combined RAM, VRAM and NVMe SSD space for the model you pick (Maya-S is 96.5 GB; DeepSeek-V4.1-Flash-1017 GGUF files are 340 GB or more)",
  "Time and bandwidth to download the model files from Hugging Face",
  "A terminal to run ./setup.sh"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/mw00-project-maya/private-local-coding-api/",
 "md": "https://dedupedai.com/use-cases/mw00-project-maya/private-local-coding-api/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/mw00-project-maya--private-local-coding-api.json",
 "api_version": "v1"
}