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How to run a private coding-agent model on your own GPU with Project Maya

Serve GLM-5.3-Flash locally so coding tools call it through an OpenAI- or Anthropic-compatible API.

Authorization notice. Project Maya is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA developer whose team cannot send source code to a hosted model provider, and who already has a capable GPU PC.

The problemHosted model APIs send your code and prompts off the machine, and your coding tools expect a standard API.

The outcomeA local server that answers API requests from your existing tools, with tool calls, and no prompts leaving your PC.

What you need first

  • 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

Steps

  1. Clone the repo and run ./setup.sh --setup, then pick the model the setup recommends for your PC (Maya-S is the default).
  2. Run ./maya.sh --bench to confirm the model runs and see your decode and prefill speeds.
  3. Start the local server through the setup or maya.sh and note the address it reports. (inferred, check the README)
  4. Point your OpenAI- or Anthropic-compatible client at that address and send one test request with a tool call. (inferred, check the README)

Prompt for your agent

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.

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.

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