stepfun-ai/Step-Audio-Chat

🤗 Hugging Face 来源audio-text-to-textapache-2.0132B 参数264 GBsafetensors✓ 31 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo stepfun-ai/Step-Audio-Chat ./model-folder
需要做种者 →

1. Step-Audio-Chat

This repository contains the Multimodal Large Language Model (LLM) component of Step-Audio. It is a 130 billion parameter multimodal LLM that is responsible for understanding and generating human speech. The model is specifically designed to seamlessly integrate functions such as speech recognition, semantic understanding, dialogue management, voice cloning, and speech generation.

2. Evaluation

2.1 LLM judge metrics(GPT-4o) on StepEval-Audio-360

Comparison of fundamental capabilities of voice chat on the StepEval-Audio-360.
Model Factuality (% ↑) Relevance (% ↑) Chat Score ↑
GLM4-Voice 54.7 66.4 3.49
Qwen2-Audio 22.6 26.3 2.27
Moshi* 1.0 0 1.49
Step-Audio-Chat 66.4 75.2 4.11

*Note: Moshi are marked with "*" and should be considered for reference only.

2.2 Public Test Set

Model Llama Question Web Questions TriviaQA* ComplexBench HSK-6
GLM4-Voice 64.7 32.2 39.1 66.0 74.0
Moshi 62.3 26.6 22.8 - -
Freeze-Omni 72.0 44.7 53.9 - -
LUCY 59.7 29.3 27.0 - -
MinMo 78.9 55.0 48.3 - -
Qwen2-Audio 52.0 27.0 37.3 54.0 -
Step-Audio-Chat 81.0 75.1 58.0 74.0 86.0

Note: Results marked with "*" on TriviaQA dataset are considered for reference only.

TriviaQA dataset marked with "*" indicates results are for reference only.

2.3 Audio instruction following

Category Instruction Following Audio Quality
GLM-4-Voice Step-Audio GLM-4-Voice Step-Audio
Languages 1.9 3.8 2.9 3.3
Role-playing 3.8 4.2 3.2 3.6
Singing / RAP 2.1 2.4 2.4 4
Voice Control 3.6 4.4 3.3 4.1

3. More information

For more information, please refer to our repository: Step-Audio.