Dirdx/YuE2-3B-MLX-with-Hum-encoder
text-to-audio model by Dirdx
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Model card & documentation
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Native MLX port of m-a-p/YuE2-3B (AR/NAR Mixture-of-Transformers music generation) with the YuE2-Vae decoder folded in. This Repo contains an additional Vae Encoder model, which is used for the Hum lora feature in my pinokio app: https://github.com/Rdx-ai-art/yue2-mlx.pinokio. Runs on Apple Silicon with no PyTorch dependency. Lyrics + style prompt in, 48 kHz stereo song out, with optional editable ABC score planning. Upstream repo : https://huggingface.co/ahmadw/YuE2-3B-MLX The NAR (flow-matching) path stays at 8 bits in the 4-bit variant because fully 4-bit flow matching drifts (12% velocity error). VAE decode is bit-exact in all variants. 8bit/ is the recommended default: near-bf16 output at roughly twice the decode speed. Each folder contains model.safetensors, vae.safetensors, config.json, vaeconfig.json, qwen.tiktoken and yue2generationconfig.json. The Python files at the repo root are the inference code. Options: --cot off|melody|full (symbolic ABC planning; full is the upstream default), --abc-file to supply your own score, --cfg-scale, --steps (NAR midpoint steps, default 32),…
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Model overview
Dirdx/YuE2-3B-MLX-with-Hum-encoder is a text-to-audio model repository published by Dirdx on Hugging Face. The source reports the mlx library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-audio
- Library
- mlx
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- cc-by-nc-4.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-23T06:33:09.000Z
- Last modified
- 2026-09-23T06:33:10.000Z
Compatibility and lineage
Reported languages: en, zh
Reported base models: m-a-p/YuE2-3B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-23T06:37:25.545Z. Daily imports are snapshots, not real-time monitoring.
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