
project-maya
by mw00 (personal account)
Project Maya - run GLM-5.3-Flash (321B MoE) privately on your own GPU(s), from one card to 16, NVIDIA or AMD, Linux or Windows. Engine, server, dashboard, OpenAI- and Anthropic-compatible API, quant tools. (description from the project’s GitHub page)
Repository facts
- Stars
- 1,023
- Forks
- 135
- Open issues and pull requests
- 76
- Primary language
- C++
- License
- MIT License (MIT)
- Owner
- mw00 · Personal account
- Created
- Oct 6, 2026
- Last push
- Oct 16, 2026
Topics
Add this badge to your README
Shows this repository’s rank in AI on GitHub and links back to this page. Ranks are by stars and change when the list is refreshed. The badge is not an endorsement or a rating. About the badges
Markdown (for a README)
[](https://unitedstatesofamericasuperintelligence.com/github/mw00--project-maya/)
HTML
<a href="https://unitedstatesofamericasuperintelligence.com/github/mw00--project-maya/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/github/mw00--project-maya.svg" alt="Ranked #6,027 in AI on GitHub" height="20"></a>
Related projects
Projects that share this one’s GitHub topics.
Rank 6,051: peonist-ai/halogen-flash-server
The fastest way to run Qwen3.8-Flash-Next on Strix Halo (gfx1151)
1,018 starsShellOther licenseLast push Oct 18, 2026
Rank 908: FareedKhan-dev/kimi-k3-in-c
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
9,094 starsCApache-2.0Last push Oct 2, 2026
Rank 7,564: pegainfer-project/pegainfer
Pure Rust + CUDA LLM inference engine — no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2
724 starsRustApache-2.0Last push Oct 17, 2026
Rank 7,888: ARahim3/kaggle-tpu-lab
Frontier-class open models on a free Kaggle TPU v5e-8: GLM-5.3-Flash 320B MoE (~165 tok/s, our own JAX engine) and Qwen3.8-27B bf16 (~130 tok/s), 262k context, prefix caching. Wor…
679 starsPythonMITLast push Oct 6, 2026
Rank 3,585: syv-ai/HyperQwen
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/…
2,054 starsPythonApache-2.0Last push Oct 18, 2026
Rank 7,815: travisvn/chatterbox-tts-api
Local, OpenAI-compatible text-to-speech (TTS) API using Chatterbox, enabling users to generate voice cloned speech anywhere the OpenAI API is used (e.g. Open WebUI, AnythingLLM, e…
690 starsPythonAGPL-3.0Last push Dec 23, 2025