# mw00/project-maya

<https://repo.masters-masters.com/en/repos/mw00/project-maya>

[Home](https://repo.masters-masters.com/en) › [mw00](https://repo.masters-masters.com/en/owners/mw00) › [project-maya](https://repo.masters-masters.com/en/repos/mw00/project-maya)

mw00/project-maya has 2,485 stars on GitHub. Its RepoMasters card: RC tier. Project Maya - run GLM-5.3-Flash (321B MoE), DeepSeek-V4.1-Flash-1017 (748B MoE)…

| Field | Value |
| --- | --- |
| Owner | [mw00](https://repo.masters-masters.com/en/owners/mw00) |
| Stars | 2,485 |
| Forks | 343 |
| Language | [Cuda](https://repo.masters-masters.com/en/languages/cuda) |
| License | MIT |
| Created | 2026 |
| Topics | cuda, glm, glm-5, llm, llm-inference, local-llm, mixture-of-experts, moe, openai-api, quantization |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [mw00/project-maya](https://github.com/mw00/project-maya) |

## Repository

Project Maya - run GLM-5.3-Flash (321B MoE), DeepSeek-V4.1-Flash-1017 (748B MoE) and MiniMax-M3.1-Flash (428B 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.

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

## Nearby in Cuda

- [Tony-Tan/CUDA\_Freshman · ★ 2,814 · Cuda · RC](https://repo.masters-masters.com/en/repos/Tony-Tan/CUDA_Freshman)
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- [rapidsai/cugraph · ★ 2,256 · Cuda · RC](https://repo.masters-masters.com/en/repos/rapidsai/cugraph)
- [brucefan1983/CUDA-Programming · ★ 2,104 · Cuda · RC](https://repo.masters-masters.com/en/repos/brucefan1983/CUDA-Programming)
- [CannyLab/tsne-cuda · ★ 1,957 · Cuda · Beta](https://repo.masters-masters.com/en/repos/CannyLab/tsne-cuda)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
