Instructions to use mlx-community/IndexTTS-2.5-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/IndexTTS-2.5-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir IndexTTS-2.5-fp16 mlx-community/IndexTTS-2.5-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
IndexTTS-2.5 โ MLX (fp16)
MLX conversion of IndexTeam/IndexTTS-2.5
(revision d0aa86e75bb6f3437f3831e95056fa72842d89ef) for Apple Silicon, re-hosted for the
MLXEngine fleet. Consumed by
mlx-indextts2-swift (Swift-MLX port,
Apache-2.0) and by vanch007/mlx-indextts2
(Python-MLX, MIT), whose converter (convert_v25.py, rev 4a32c967) produced these tensors
with strict tensor-coverage verification (conversion_report.json).
Files
| File | Component | dtype |
|---|---|---|
gpt.safetensors |
UnifiedVoice 2.5 GPT (24ร1280, CAMPPlus speaker projection, language embedding, emotion conditioner) | fp16 |
codec.safetensors |
EnhancedCodec (Vocos/ConvNeXt encoder+decoder, 8192ร8 FVQ) | fp16 |
s2mel.safetensors |
S2Mel โ length regulator + DiT/CFM | fp16 |
bigvgan.safetensors |
BigVGAN v2 22 kHz 80-band 256ร vocoder (NVIDIA, MIT) | fp16 |
multilingual_zh_ja_yue_char_del.tiktoken |
tiktoken BPE vocabulary (60 509 tokens incl. specials) | โ |
model.safetensors |
facebook/w2v-bert-2.0 (MIT) โ the semantic front-end, unchanged | fp32 |
config.yaml / config.json / model_manifest.json / conversion_report.json |
checkpoint config + conversion provenance | โ |
feat1.pt / feat2.pt / wav2vec2bert_stats.pt |
emotion matrices + w2v-BERT feature stats (torch pickles, as upstream) | โ |
License
The model weights (gpt, codec, s2mel, the tokenizer and the feat/stats files) are
licensed under the bilibili Model Use License Agreement โ see LICENSE (verbatim copy).
Commercial use is permitted; per ยง2.2 an entity whose products exceeded 100 million monthly
active users in the preceding month or RMB 1 billion annual revenue in the preceding year
must request a separate license from bilibili. Downstream recipients are bound by the same
Agreement (ยง3.4(a)); retain the notices and this LICENSE with every copy (ยง3.4(b)).
bigvgan.safetensors is NVIDIA's BigVGAN v2 (MIT). model.safetensors is Meta's
w2v-bert-2.0 (MIT).
Derivative-work statement (ยง4.1(a)): Any modifications made to the original model in this Derivative Work are not endorsed, warranted, or guaranteed by the original right-holder of the original model, and the original right-holder disclaims all liability related to this Derivative Work. (The modification here is a dtype conversion + tensor re-layout for MLX.)
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Base model
IndexTeam/IndexTTS-2.5