hoenn_lofi GGUF

GGUF conversion of thepatch/hoenn_lofi, thepatch's lofi finetune of MusicGen large, for audiocraft.cpp's native musicgen-server, which runs gary4local's C++ gary service.

Pick one precision of the language model and put it in a folder with the EnCodec and T5 files. If more than one precision is in the folder, the server runs the most precise. Every quantized tensor round-trips against the F16 conversion at cosine 0.9999 or better for Q8_0 and 0.9966 or better for Q4_K_M.

On an RTX 5070 Laptop GPU (8 GB, CUDA), a guided 30-second continuation from a 6-second prompt with a MusicGen large finetune peaked at about 5.7 GiB of VRAM at Q4_K_M and 6.9 GiB at Q8_0, desktop included, and took about 43 seconds with either. F16 spilled past the card and took over 100 seconds, so it is for GPUs with 12 GB or more.

File Size
musicgen-hoenn-lofi-3.3B-v1.0-F16.gguf 6,213 MiB F16; the reference
musicgen-hoenn-lofi-3.3B-v1.0-Q8_0.gguf 3,302 MiB Q8_0 throughout
musicgen-hoenn-lofi-3.3B-v1.0-Q4_K_M.gguf 2,054 MiB Q4_K, with the FFN down projection, cross-attention K/V, codebook embeddings and output heads at Q6_K
encodec-32khz-v1.0-F32.gguf 221 MiB MusicGen's 32 kHz EnCodec
t5-base-encoder-0.1B-v1.0-F16.gguf 210 MiB T5-base text encoder for descriptions
$env:AC_DEVICE = "cuda"
musicgen-server --port 8000 --models-dir C:\path\to\this\folder

The server lists the model in /api/models as thepatch/hoenn_lofi and accepts that name as model_name, the same routes gary4juce uses with the Python service. See SERVICES.md.

Sources and licensing

MusicGen's weights are released by Meta under CC-BY-NC 4.0, and this finetune and its conversion inherit that license: non-commercial use only. T5-base is Apache 2.0. Each GGUF records its own source and license in its general.* metadata.

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