Instructions to use ChrisColeTech/minimax-music3-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use ChrisColeTech/minimax-music3-GGUF 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 ChrisColeTech/minimax-music3-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf ChrisColeTech/minimax-music3-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ChrisColeTech/minimax-music3-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf ChrisColeTech/minimax-music3-GGUF: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 ChrisColeTech/minimax-music3-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf ChrisColeTech/minimax-music3-GGUF: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 ChrisColeTech/minimax-music3-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ChrisColeTech/minimax-music3-GGUF:F16

Use Docker

docker model run hf.co/ChrisColeTech/minimax-music3-GGUF:F16

LM Studio
Jan
Ollama
How to use ChrisColeTech/minimax-music3-GGUF with Ollama:
```
ollama run hf.co/ChrisColeTech/minimax-music3-GGUF:F16
```

Unsloth Studio

How to use ChrisColeTech/minimax-music3-GGUF 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 ChrisColeTech/minimax-music3-GGUF 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 ChrisColeTech/minimax-music3-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ChrisColeTech/minimax-music3-GGUF to start chatting

Docker Model Runner
How to use ChrisColeTech/minimax-music3-GGUF with Docker Model Runner:
```
docker model run hf.co/ChrisColeTech/minimax-music3-GGUF:F16
```

Lemonade

How to use ChrisColeTech/minimax-music3-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ChrisColeTech/minimax-music3-GGUF:F16

Run and chat with the model

lemonade run user.minimax-music3-GGUF-F16

List all available models

lemonade list

Atomic Chat

MiniMax Music 3 GGUF

The MiniMax Music 3 autoregressive text encoder + flow-matching DiT, converted to GGUF.

Complete songs with vocals from a caption (music description) + lyrics. Up to ~5 min, stereo 44.1 kHz.

Samples

Synth-Pop - 2:29 min (Q8_0 GGUF)

~7.3 min on an RTX 5090 (32 GB), peak 9.7 GiB.

Parameter Value

Prompt Polished modern synth-pop with a cinematic lift. 104 BPM, A minor. Bright, wide and euphoric, building from a restrained verse into a soaring chorus. High-fidelity studio production: pristine and clean, crisp transients, wide stereo image, deep controlled sub, glossy modern mastering. No vinyl noise, no tape hiss, no lo-fi texture. Vocal Details: Clear, confident female lead, forward and centered in the mix, pop-clean and articulate with strong sustained notes in the chorus. Bright airy top end, tight controlled vibrato. Stacked octave harmonies and a layered choir-like double on the chorus, wide and shimmering.

Parameter	Value
Prompt	Polished modern synth-pop with a cinematic lift. 104 BPM, A minor. Bright, wide and euphoric, building from a restrained verse into a soaring chorus. High-fidelity studio production: pristine and clean, crisp transients, wide stereo image, deep controlled sub, glossy modern mastering. No vinyl noise, no tape hiss, no lo-fi texture. Vocal Details: Clear, confident female lead, forward and centered in the mix, pop-clean and articulate with strong sustained notes in the chorus. Bright airy top end, tight controlled vibrato. Stacked octave harmonies and a layered choir-like double on the chorus, wide and shimmering.

Punk-funk — 1:01 (Q8_0 GGUF)

~5 min on an RTX 5090 (32 GB), peak 9.7 GiB.

Parameter Value

Prompt Modern pop-punk, fast and bright four-piece band, in the vein of late-nineties California skate punk. 172 BPM, E major, straight eighths, relentless forward drive. Energetic, sunny and a little bratty, sing-along and radio-ready. High-fidelity modern rock production: tight and punchy, crisp cymbals, clear midrange, powerful but controlled low end, polished commercial master. No lo-fi texture, no vinyl noise, no tape hiss. Snotty melodic male lead with a bright nasal edge and a slight sneer, sung not screamed, forward and dry in the center with a short slapback. Big shouted gang-vocal "whoa-oh" backups stacked wide across the chorus, and a second harmony vocal a third above the lead on the hook.

Parameter	Value
Prompt	Modern pop-punk, fast and bright four-piece band, in the vein of late-nineties California skate punk. 172 BPM, E major, straight eighths, relentless forward drive. Energetic, sunny and a little bratty, sing-along and radio-ready. High-fidelity modern rock production: tight and punchy, crisp cymbals, clear midrange, powerful but controlled low end, polished commercial master. No lo-fi texture, no vinyl noise, no tape hiss. Snotty melodic male lead with a bright nasal edge and a slight sneer, sung not screamed, forward and dry in the center with a short slapback. Big shouted gang-vocal "whoa-oh" backups stacked wide across the chorus, and a second harmony vocal a third above the lead on the hook.

Components used to generate

Component	File	~Size	Download
Text Encoder	`minimax_music3_text_encoder_pruned_Q8_0.gguf`	8.88 GB	Link
Transformer	`minimax_music3_dit_Q8_0.gguf`	2.70 GB	Link
Audio VAE	`minimax_music3_dav.safetensors`	217 MB	Link

⚠ Must use the updated GGUF Loader ⚠

In comfy:

Open the ComfyUI Manager
Change the channel to "Channel (remote)"
and search for comfyui-gguf-loader

Use the workflow Link

Caption in three parts:

global metadata (genre, BPM, key, mood)
vocal details
arrangement.

Note: Describe the vocal explicitly (ie. "warm female vocal, close and breathy" etc.) or it drifts.

Structure tags each on their own line:

[intro]

[verse]

[pre-chorus]

[chorus]

[bridge]

[instrumental]

[solo]

[outro].

Note: These are the only tags the model uses.

Recommended settings

Parameter	Value	Notes
`duration`	`120`–`300`	300s Max
`steps`	`30`	Euler scheduler
`guidance` /CFG	`1.7`	flow stage

Sources


Base model	MiniMaxAI/MiniMax-Music3
Source weights	Comfy-Org/MiniMax-Music-3

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GGUF

Model size

8B params

Architecture

qwen2

Hardware compatibility

6-bit

8-bit

16-bit

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