mw00/project-maya

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.

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Project Maya GLM-5.3-Flash (321 B), DeepSeek-V4.1-Flash-1017 (748 B) and MiniMax-M3.1-Flash (428 B) on your own GPU private and fast · one NVIDIA GPU or up to 16 · AMD and Windows (experimental) · chat, pictures, OpenAI- and Anthropic-compatible API · several requests at once Created and led by Peasant Smith (@mw00), co-maintained with @needmorevram Project Maya is free. If it runs well on your PC, a coffee keeps the work on it going. Models this size usually need a datacenter. Maya runs three of them on the hardware you already have: GLM-5.3-Flash, DeepSeek-V4.1-Flash-1017 and MiniMax-M3.1-Flash. Each model has an engine built for it. It keeps the experts your conversation uses most on the GPU, the next ones in RAM and the rest on your NVMe SSD, and moves them as you chat. It measures your GPUs, CPU, RAM and SSD and tunes itself to them. Nothing leaves your machine. RTX…

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Inside the original README — Document outline
  1. Quick start
  2. Pick your model
  3. Quality
  4. How fast is it?
  5. Using it
  6. What you need
  7. Install
  8. Something went wrong?
  9. Support
  10. Credits and license

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What this repository does

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.

Repository facts

Owner
mw00
Primary language
Cuda
Stars
2,355
Forks
322
Open issues + pull requests
125
License
MIT
Archived
No
Default branch
main
Created
2026-10-06T22:55:13.000Z
Last push
2026-11-01T10:25:43.000Z

Topics and intended use

Owner-supplied topics: cuda, deepseek, deepseek-v4, glm, glm-5, llm, llm-inference, local-llm, minimax, minimax-m3, mixture-of-experts, moe, openai-api, quantization, rocm, self-hosted

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Source: GitHub. Metadata observed 2026-11-01T12:18:40.947Z. Daily imports are snapshots, not real-time monitoring.

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