bitmanagerai/Qwen3TTSv2_SFT1

Qwen3TTSv2 SFT1

This is a full, merged Qwen3-TTS checkpoint. The LoRA adapter has been merged into Qwen/Qwen3-TTS-12Hz-1.7B-Base (base revision fd4b254389122332181a7c3db7f27e918eec64e3), so this repository is loadable directly as a Qwen3-TTS model. No LoRA adapter needs to be attached.

Loading

import torch
from qwen_tts import Qwen3TTSModel

model = Qwen3TTSModel.from_pretrained(
    "bitmanagerai/Qwen3TTSv2_SFT1",
    torch_dtype=torch.bfloat16,
    device_map="cuda",
)

Hard-number validation

Validation used the original training evaluator on 2,000 Russian hard-number utterances. All error metrics below are percentages (0–100), not fractions.

Metric	Score
Utterance CER	1.466153%
Utterance WER	2.971414%
Number CER	0.891371%
Number WER	1.604707%

Validation accounting	Value
Evaluated utterances	2,000
Generation failures	0
ASR failures	0
Other failures	0
Empty hypotheses	0
Total failures	0

The evaluation was recorded with epoch 2, step label 178080, benchmark plan SHA-256 a13c2c8c4dd1a89981e80481bb9554e5affb7818546583151350a42ecdb47a00, and the original source revision ff16c6d3382a8cc3b656c4999e69bf388d3a046b.