Instructions to use FenomAI/MiniMax-Music3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use FenomAI/MiniMax-Music3 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf FenomAI/MiniMax-Music3:F16 # Run inference directly in the terminal: llama cli -hf FenomAI/MiniMax-Music3:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf FenomAI/MiniMax-Music3:F16 # Run inference directly in the terminal: llama cli -hf FenomAI/MiniMax-Music3:F16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf FenomAI/MiniMax-Music3:F16 # Run inference directly in the terminal: ./llama-cli -hf FenomAI/MiniMax-Music3:F16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf FenomAI/MiniMax-Music3:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf FenomAI/MiniMax-Music3:F16
Use Docker
docker model run hf.co/FenomAI/MiniMax-Music3:F16
- LM Studio
- Jan
- Ollama
How to use FenomAI/MiniMax-Music3 with Ollama:
ollama run hf.co/FenomAI/MiniMax-Music3:F16
- Unsloth Studio
How to use FenomAI/MiniMax-Music3 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for FenomAI/MiniMax-Music3 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for FenomAI/MiniMax-Music3 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for FenomAI/MiniMax-Music3 to start chatting
- Docker Model Runner
How to use FenomAI/MiniMax-Music3 with Docker Model Runner:
docker model run hf.co/FenomAI/MiniMax-Music3:F16
- Lemonade
How to use FenomAI/MiniMax-Music3 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull FenomAI/MiniMax-Music3:F16
Run and chat with the model
lemonade run user.MiniMax-Music3-F16
List all available models
lemonade list
- Atomic Chat
File size: 2,484 Bytes
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license: other
license_name: minimax-music3-community-license
license_link: https://huggingface.co/MiniMaxAI/MiniMax-Music3/blob/main/LICENSE
base_model: MiniMaxAI/MiniMax-Music3
tags:
- gguf
- music-generation
- text-to-music
- hot-step-cpp
---
# MiniMax-Music3 — GGUF (f16)
GGUF conversion of [MiniMaxAI/MiniMax-Music3](https://huggingface.co/MiniMaxAI/MiniMax-Music3)
for **[HOT-Step CPP](https://github.com/scragnog/HOT-Step-CPP)**, a fully local desktop app for
AI music generation with a native C++/GGML engine. As far as we know this is the first GGUF
conversion of this model.
These files are downloaded automatically by HOT-Step's Model Manager when the MiniMax-Music3
backend is selected. They are **not** usable with llama.cpp alone: `mm3-lm-f16.gguf` is
structurally a Qwen3 GGUF, but music generation requires the full five-module pipeline
(LM → RVQ depth decoder → condition encoder → flow-matching DiT → vocoder) implemented in
HOT-Step's engine.
## Files
| File | Size | Contents |
|---|---|---|
| `mm3-lm-f16.gguf` | 17.2 GB | Global LM (8.59B, Qwen3 arch, 200k vocab incl. 16,384 semantic audio codes) + full tokenizer |
| `mm3-synth-f16.gguf` | 6.4 GB | RVQ depth decoder (0.6B) + condition encoder (25M) + flow DiT (2.4B) + vocoder (54M), namespaced `depth.` / `cond.` / `dit.` / `voc.` |
| `LICENSE` | — | MiniMax-Music3 Community License (governs the weights) |
Output: 44.1 kHz 16-bit stereo, up to 5 minutes. VRAM: ~24 GB at f16 (quantized variants may follow).
## Conversion provenance
Converted 2026-08-13 with HOT-Step's [`engine/tools/convert-mm3.py`](https://github.com/scragnog/HOT-Step-CPP/blob/master/engine/tools/convert-mm3.py)
from the bf16/fp16 safetensors published by MiniMax (via the Comfy-Org repackage). Vocoder
weight-norm folded at conversion; vocoder and DiT Fourier/RoPE bases pinned F32; all 911
tensors shape-validated. The HOT-Step implementation is parity-validated against the official
diffusers reference (per-module correlation ≥ 0.9999 vs fp32; full-pipeline replay 0.9988).
## License
The model weights are subject to the **MiniMax-Music3 Community License** (included here as
`LICENSE`, per its notice-preservation requirement). Notable terms: prominent display of
"MiniMax-Music3" in commercial products, separate authorization above US$20M annual revenue,
acceptable-use policy, and clear disclosure of AI generation for publicly distributed outputs.
The conversion adds no additional restrictions.
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