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updated 2d ago
Cuda · MIT

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.

★ 2.5k
Stars
355 forks · 112 open issues
+51/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
57.8
Momentum / 100
see the breakdown below
32d ago
Created
last push 2d ago

Star history

2026-10-14 796 → 2.5k stars +1.7k over 22 days 2026-11-05

How this score was built

ComponentWeightEarnedWhy
Velocity5532.9 +51/day, log-scaled against a 750/day ceiling
Acceleration150.0 last week ran 0.65× the monthly pace
Freshness1515.0 last push 2d ago; decays to zero at 180 days
Scale159.9 2.5k stars, log-scaled against 150k — stops a 3-star repo topping the board
Momentum10057.8 sum of the above

Detail

Topicscudadeepseekdeepseek-v4glmglm-5llmllm-inferencelocal-llmminimaxminimax-m3mixture-of-expertsmoeopenai-apiquantizationrocmself-hosted
Matched onLLM & Inference (llm, llm-inference)
Dev Tools (self-hosted)
Short window+360 stars over 7 days = 51.4/day
Long window+1.7k stars over 22 days = 78.9/day
Lifetime average85.64 stars/day over 30 days
First seen here2026-10-14
Last read2d ago