idefinity/ming-3.0-tts-2step-distill-int4

ming-3.0-tts 2-step distilled DiT

A 2-step CFG-free flow DiT distilled from inclusionAI/Ming-3.0-tts-0.5B (teacher: 10-step, CFG=2).

Files

• distill/dit2.onnx — 2-step distilled DiT, fp32 ONNX.
• distill/dit2_int4.onnx — MatMulNBits 4-bit quantized DiT.
• distill/student_2step.pt — PyTorch student state dict.
• samples/teacher.wav, samples/student.wav, samples/student_int4.wav.
• metrics.json, diagram.png.

Metrics

Metric	fp32 student	int4 student
ASR CER	0.6296	0.7070
Speaker cosine	0.6480	0.6722
Log-mel L1	3.9242	3.8014
Duration ratio	0.996	0.996
DiT int4 probe cosine	—	0.995896

Training: 200 SFW Chinese utterances, 13,112 latent frames, 2,000 optimizer steps, batch 16, AdamW lr 1e-4, fp32.

Listening

• Teacher — 10-step CFG=2
• Student — 2-step CFG-free
• Student int4

Text: 雨落在窗台上，远处的灯一盏一盏亮起来。

Scope

This repository contains the distilled DiT and its int4 quantization. The LM, aggregator, encoder, and vocoder are not bundled here. The diagram compares 1/2/3/4-step students; this repository is the 2-step entry. SFW only. The base model is MIT licensed and its usage disclaimer applies.