MiniMax-AI / MiniMax-AI/MiniMax-Music3

[audio.cpp] C++/GGML MiniMax-Music3. Fits comfortably within 16 GB VRAM and supports CUDA, Vulkan, Metal, and AMD GPUs. Demo included.

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Description

Repo: https://github.com/0xShug0/audio.cpp

Measured on an RTX 5090 with CUDA using a 30-second lyric generation request, 30 flow steps, flow guidance scale 1.7, AR guidance scale 1.5, and top-k 50. Peak VRAM is the observed nvidia-smi process peak during a warmup-plus-measured-request run.

Component mix Language model RVQ depth decoder Flow transformer RTF Speed Peak VRAM
Default Q4/Q8/Q4 q4_0 q8_0 q4_0 0.738 1.35x faster realtime 9.8 GiB
Q8 q8_0 q8_0 q8_0 0.832 1.20x faster realtime 13.4 GiB
BF16 bf16 bf16 bf16 1.389 0.72x realtime 19.4 GiB

60s and 180s (target duration) end to end demo, using the features/pop prompt from official demo

https://github.com/user-attachments/assets/4ecd1de8-fffd-4413-93e3-567eacc43843

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the issue's audio.cpp/GGML implementation description and the linked 60s and 180s demo material. The issue does not name files, tests, an entry point, or a requested change, so a contributor would need clarification before work can be considered complete.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp
Domain
audio-video-rtc
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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