MiniMax-Music3-GGUF

ckadirt/MiniMax-Music3-GGUF

MiniMax-Music3-GGUF is a text-to-audio model from ckadirt. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for ggml. The card lists the license as other.

Experimental artifact snapshot, not an approved production release.

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Repo size

67.3 GB

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Hugging Face

Repo makeup

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.gguf67.3 GB · 100%

At a glance

Task: Text-to-Audio
Library: ggml
License: other
Model type: minimax_music3
Access: Public
Created: Sep 18, 2026
Updated: Sep 18, 2026
SHA: 3809fd76

Base models

MiniMaxAI/MiniMax-Music3

Model card

From the Hugging Face model README

MiniMax Music 3 GGUF

Experimental artifact snapshot, not an approved production release.

The source validation matrix records dense parity, quantized profiles, CPU/CUDA real-model smoke tests, and pause/resume checks as passed. Vulkan, Metal, and Android real-model validation remain pending; release_approved is false. These are recorded upstream results, not validation runs performed for this upload.

Portable GGUF components for MiniMaxAI/MiniMax-Music3, converted for minimax-music3.cpp and the Cantor engine ABI v1.

These files are checkpoint derivatives. They are governed by the included MODEL_LICENSE (the MiniMax Music 3 Community License), not by the Apache-2.0 license used for the C++ source repository. Review the model license before using or redistributing them.

Components

Load exactly one file for each role: lm, rvq, condition, dit, and vae. The condition encoder has one F32 artifact. The VAE has F32 and F16 storage variants. LM, RVQ, and DiT provide the following quality ladder:

BF16 for LM/RVQ or F32 for DiT: reference storage
Q8_0: high-quality quantized storage
Q6_K: quality-oriented K-quant
Q5_K_M: intermediate K-quant
Q4_K_M: balanced/default K-quant

The recommended balanced set is lm-Q4_K_M, rvq-Q4_K_M, condition-F32, dit-Q4_K_M, and vae-F16. Do not rename component files: their exact bytes are part of Cantor pause/resume identity checks.

Artifact	Bytes	SHA-256
`lm-BF16.gguf`	17,180,559,616	`17e8f57e5712ae47f3b6882fe9756b00fb648d6d8376029fbf1ab02daff5dbe8`
`lm-Q8_0.gguf`	9,132,902,656	`a536342228fdb88f156d4caeb767f03c2cf4eb788815c71d4065c0e1330e3e23`
`lm-Q6_K.gguf`	7,053,924,608	`96a8228332c7d8897ee560d524a596ba9ff30346c9821db47b0b974d675170bb`
`lm-Q5_K_M.gguf`	6,452,304,160	`d4e061ae16a0cb664964749b5f603755a0fe26c60d81a3bb66e95837b7ac28d6`
`lm-Q4_K_M.gguf`	5,886,073,120	`5f67c61c1c130d2d8f0c8f30098eb1c9396c8d46ac9bbce2e212fc712340925b`
`rvq-BF16.gguf`	1,292,063,296	`10f34b7e4c3e6e49866ae39ca70bb72ec579654d80d43d3c58f72680035b3dbd`
`rvq-Q8_0.gguf`	686,641,728	`2ab61b908e9509d9484f1ff7c86278788a32e670a985e1e27d15b18fb753faf3`
`rvq-Q6_K.gguf`	530,207,296	`c88519ff7473f08fa4c03ed087db49d011531b44a2ca2e9aa23c9ec5e8049a03`
`rvq-Q5_K_M.gguf`	474,501,696	`ad99404155fe8523dce2b4543d1e73a708040f40e8004f73477d97b6b5298072`
`rvq-Q4_K_M.gguf`	422,072,896	`f11c2408e4c7e6a606e126ffbd43b29db78dece6b9f3b5428436fcd9624d6477`
`condition-F32.gguf`	100,679,296	`a1a89b8e9ec9ac3311fecfd8fe59d5fc4cf0b7776e09cc53e90423a1014fbd6d`
`dit-F32.gguf`	9,727,688,128	`f417afed1906598322e72aaf8353c0aa17a90a43d51abc135500e5184fb6fbe1`
`dit-Q8_0.gguf`	2,616,286,688	`c39e6f73a0eb18518ad89beb9fe8ca71dd323429d69e229300061af4e7e8032d`
`dit-Q6_K.gguf`	2,029,975,008	`d875ec9ce0d6ab0bbef0f97da8dbe66e7f2ce627190c10cf927eb0ad7477ae65`
`dit-Q5_K_M.gguf`	1,808,719,328	`e60d052635f32bfe0f3a89fd7e7f85c14edd9720d8c9502733d9b89456de7bd9`
`dit-Q4_K_M.gguf`	1,600,478,688	`8cbaeb770f66804178695846f096b1b21a982f4425d368ca2c2c6bba6455729d`
`vae-F32.gguf`	216,706,336	`4ec9da855b543e394c8abf20ba43c6a84d5b3d1f20cc9a22467195221cf68df9`
`vae-F16.gguf`	108,498,016	`68bdb356f42168708063567c21ec0764e8fd78b8726d863ea70a11b855d359cd`

Each GGUF has a .manifest.json and .sha256 sidecar. The LM GGUFs also embed the pinned tokenizer, all component configs, source inventory, model license, and model specification. Every GGUF embeds its component, profile, source commit, source-inventory hash, converter version, and GGML revision.

Runtime

Native output is stereo 44.1 kHz; Cantor requests may explicitly select the Torchaudio-compatible 32 kHz serving resampler. The same model implementation targets CPU, CUDA, HIP, Vulkan, Metal, and Android through GGML.

This snapshot preserves the existing validation status. See validation/release-matrix.json for the recorded gates.

Task: Text-to-Audio
Library: ggml
Type: minimax_music3
License: other
Created: Sep 18, 2026
Updated: Sep 18, 2026