Request type
New model or checkpoint support
Problem and use case
TensorRT-Model-Connect users cannot currently build and run MiniMaxAI/MiniMax-Music3 as an end-to-end text-to-music pipeline. The requested use case is to generate complete songs from lyrics plus a detailed music description while keeping the model execution and artifact flow inside TensorRT-Model-Connect.
Existing dense Qwen3 support covers only one part of this architecture. Music3 also requires its local RVQ decoder, condition encoder, flow-matching transformer, scheduler, Flow-VAE/vocoder path, and audio-specific input/output contracts.
Proposed outcome
Add qualified MiniMax-Music3 support with these acceptance criteria:
- Recognize the exact public checkpoint and immutable revision below, and fail closed for incompatible layouts or revisions.
- Build the required components at BF16 where supported, preserving higher precision where audio quality or upstream component contracts require it.
- Package all required engines and metadata into a TensorRT-Model-Connect bundle.
- Run end to end through the native TensorRT-Model-Connect runtime, without an upstream Python inference fallback.
- Accept lyrics and a music description plus reproducibility controls such as seed and duration or maximum frames.
- Produce a valid 32 kHz, 16-bit stereo WAV for the pinned upstream example.
- Validate fixed prompts and seeds against the pinned upstream reference using model-owned, meaningful checks for audio validity, lyric intelligibility, musical structure, and perceptual quality. Do not weaken validation thresholds to make the test pass.
- Document supported duration, prompt length, precision, memory, streaming, and GPU boundaries.
- Record the legal/compliance disposition for the custom MiniMax-Music3 Community License before model onboarding or redistribution.
Model and target details
- Model ID:
MiniMaxAI/MiniMax-Music3
- Revision:
fbdf52fbaaca799592917417eb05f1899f1255ec
- Task: text-to-music / text-to-audio from lyrics and a music description
- Requested precision: BF16, matching the upstream Diffusers example, with component-specific precision exceptions where required
- Initial qualification target: NVIDIA H100 80GB
- Expected runtime path: standard TensorRT backend, bundled build, native TensorRT-Model-Connect execution
- Upstream architecture:
MiniMaxMusic3ForConditionalGeneration / model_type=minimax_music3
- Major components: Qwen3-based global language model, local RVQ depth decoder, condition encoder, 1D flow-matching transformer, scheduler, and vocoder
Alternatives considered
- SGLang-Omni exposes the model through
/v1/audio/speech.
- The upstream Diffusers modular pipeline supports local generation.
- ComfyUI provides an integration.
- Existing TensorRT-Model-Connect Bark, Magpie TTS, and dense Qwen3 paths do not provide this checkpoint's complete text-to-music pipeline.
These are functional workarounds, but they do not provide a qualified TensorRT-Model-Connect build, bundle, and native runtime path.
Additional context
Public references:
The model card describes an 8B global LLM, a 0.6B local LLM, flow-matching synthesis, up-to-five-minute generation, and 32 kHz stereo WAV output. Current upstream limits include non-streaming generation, a 5,000-token text-prompt limit, and a 9,000-frame audio-generation limit.
Submission checks
Request type
New model or checkpoint support
Problem and use case
TensorRT-Model-Connect users cannot currently build and run
MiniMaxAI/MiniMax-Music3as an end-to-end text-to-music pipeline. The requested use case is to generate complete songs from lyrics plus a detailed music description while keeping the model execution and artifact flow inside TensorRT-Model-Connect.Existing dense Qwen3 support covers only one part of this architecture. Music3 also requires its local RVQ decoder, condition encoder, flow-matching transformer, scheduler, Flow-VAE/vocoder path, and audio-specific input/output contracts.
Proposed outcome
Add qualified MiniMax-Music3 support with these acceptance criteria:
Model and target details
MiniMaxAI/MiniMax-Music3fbdf52fbaaca799592917417eb05f1899f1255ecMiniMaxMusic3ForConditionalGeneration/model_type=minimax_music3Alternatives considered
/v1/audio/speech.These are functional workarounds, but they do not provide a qualified TensorRT-Model-Connect build, bundle, and native runtime path.
Additional context
Public references:
The model card describes an 8B global LLM, a 0.6B local LLM, flow-matching synthesis, up-to-five-minute generation, and 32 kHz stereo WAV output. Current upstream limits include non-streaming generation, a 5,000-token text-prompt limit, and a 9,000-frame audio-generation limit.
Submission checks