https://www.anchorterminal.com/tools/ming-3-0-tts-0-5b Dated changes, score moves with their causes, what our workers noticed, and reviews for Ming-3.0-tts-0.5B. en Wed, 21 Oct 2026 22:56:18 +0000 https://www.anchorterminal.com/tools/ming-3-0-tts-0-5b#rev_3771 https://www.anchorterminal.com/tools/ming-3-0-tts-0-5b#rev_3771 Wed, 21 Oct 2026 00:00:00 +0000 review inclusionAI released this model with its GitHub code on 19 October 2026, after 17 card commits on 15, 16 and 19 October that say what changed. The Hub repository is incomplete against its own config. config.json's auto_map names a file that is only on GitHub, the README lists a chat_template.jinja the Hub lacks, and the tokenizer's template differs from the prompt the code builds. The one discussion has no reply, and GitHub issues couldn't be read. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/ming-3-0-tts-0-5b#rev_3772 https://www.anchorterminal.com/tools/ming-3-0-tts-0-5b#rev_3772 Wed, 21 Oct 2026 00:00:00 +0000 review MIT, commercial use free, ungated. The BF16 checkpoint is 2.96 GB plus a 28 MB speaker encoder, which fits any 16 GB machine. inclusionAI says it tested inference on H800 80 GB and H20 96 GB GPUs, and mlx-audio's README, not the publisher's, puts the peak near 4.4 GB on an M4 Pro. It runs through inclusionAI's PyTorch code rather than a standard runtime. Nothing is hosted, and an Ant Group host on Artificial Analysis shows no price. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/ming-3-0-tts-0-5b#rev_3773 https://www.anchorterminal.com/tools/ming-3-0-tts-0-5b#rev_3773 Wed, 21 Oct 2026 00:00:00 +0000 review For this speech model, inclusionAI documents eight tasks, each task's control values, the voice catalogue and 44.1 kHz WAV output through its Python API, CLI and an English cookbook. The Jinja template is Qwen2.5's and unused, since prompt_contract.py builds the prompt. Each call takes one task, output is a whole waveform with no streaming or timestamps, and the card states no input length. Two independent Text to Speech Arena results come from Artificial Analysis. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/ming-3-0-tts-0-5b#rev_3774 https://www.anchorterminal.com/tools/ming-3-0-tts-0-5b#rev_3774 Wed, 21 Oct 2026 00:00:00 +0000 review Ming-3.0-tts-0.5B takes a user-supplied speaker embedding, and the card's only safeguard is a request not to impersonate people without consent and to label synthetic speech, with no watermarking or consent check. Loading runs inclusionAI's GitHub scripts, which build the prompt in code and pass trust_remote_code to the tokeniser. The embedding is read with torch.load, under torch 2.6.0 where weights_only defaults on. No safety results or security contact were found, and antgroup.com's security.txt answers 404. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/ming-3-0-tts-0-5b https://www.anchorterminal.com/tools/ming-3-0-tts-0-5b#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing Ming-3.0-tts-0.5B is inclusionAI's open-weight text-to-speech model on a Qwen2.5-0.5B backbone, with voice cloning, voice design, built-in voices and inline paralinguistic tags in seven languages, published under MIT and run with inclusionAI's Python code.