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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- 896
- Forks
- 84
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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
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- 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