Text-to-Speech
GLM-TTS
Safetensors
Chinese
English
llm
tts
zero-shot
voice-cloning
reinforcement-learning
flow-matching
Instructions to use ArchiveStudio/GLM-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLM-TTS
How to use ArchiveStudio/GLM-TTS with GLM-TTS:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download llm/config.json from ArchiveStudio/GLM-TTS: direct link, hf CLI and curl.
- Browser
- Download file 674 Bytes
-
https://huggingface.co/ArchiveStudio/GLM-TTS/resolve/main/llm/config.json
- Command line
-
hf download hf://ArchiveStudio/GLM-TTS/llm/config.json
-
curl -L -o config.json https://huggingface.co/ArchiveStudio/GLM-TTS/resolve/main/llm/config.json
674 Bytes
| { | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 2048, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 6144, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 28, | |
| "num_key_value_heads": 4, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.47.1", | |
| "use_cache": true, | |
| "vocab_size": 98304 | |
| } | |