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What you can do with Project Maya

Project Maya is a free, local engine and server that runs large GLM-5.3-Flash and DeepSeek-V4.1-Flash-1017 models privately on your own NVIDIA or AMD GPUs.

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mw00/project-maya on GitHub

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Authorization notice. This tool is dual-use. Only use it on software, sites and systems you own or have explicit permission to test, and follow the relevant licenses and terms of service.

What do you want to do?

3 use cases

  • Run a private coding-agent model on your own GPU

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

    View 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.

  • Ask questions about confidential files without cloud upload

    Chat with a large model in the browser while your documents stay on your own machine.

    View prompt
    Use the GitHub repo mw00/project-maya. Run ./setup.sh --setup on <target machine>, choose Maya-S24, then open the local browser chat and ask a summary question about <document path>. Expected output: a summary generated locally. Verify that the network traffic during the answer stays on the local machine.

  • Run DeepSeek-V4.1-Flash locally with picture input

    Set up DeepSeek-V4.1-Flash-1017 on your GPUs and include vision support for images.

    View prompt
    Use the GitHub repo mw00/project-maya. On <target machine>, run ./setup.sh --model DeepSeek-V4.1-Flash-1017 and then ./maya.sh --bench. Expected output: benchmark numbers for the DeepSeek model and a successful image-plus-text answer. Verify that the vision component loaded (the setup should report it) before counting the test as passed.

How to use Project Maya

  1. Check you have what it needs: 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.
  2. Open mw00/project-maya on GitHub and read the README and license.
  3. Clone the repo and run ./setup.sh --setup, then pick the model the setup recommends for your PC (Maya-S is the default).
  4. Run ./maya.sh --bench to confirm the model runs and see your decode and prefill speeds.
  5. Start the local server through the setup or maya.sh and note the address it reports. (inferred, check the README)
  6. Point your OpenAI- or Anthropic-compatible client at that address and send one test request with a tool call. (inferred, check the README)

These steps come from our top use case, Run a private coding-agent model on your own GPU, which also has a copy-paste agent prompt.

Project Maya alternatives · Best AI repos for Software and DevOps

About this repo

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
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Questions about Project Maya

What is Project Maya?

Project Maya is a free, local engine and server that runs large GLM-5.3-Flash and DeepSeek-V4.1-Flash-1017 models privately on your own NVIDIA or AMD GPUs. It is an open-source project on GitHub: https://github.com/mw00/project-maya.

Who is Project Maya for?

Developers and teams with a capable GPU PC who want a private, local model behind OpenAI- or Anthropic-compatible tools.

What can I do with Project Maya?

3 use cases so far, for example: Run a private coding-agent model on your own GPU; Ask questions about confidential files without cloud upload; Run DeepSeek-V4.1-Flash locally with picture input. Each has steps and a copy-paste agent prompt.

What do I need to run Project Maya?

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.

What are alternatives to Project Maya?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Project Maya safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.