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  # SpeechLLM
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- [![hf_space](https://img.shields.io/badge/🤗-SpeechLLM%20HuggingFace-blue.svg)](https://huggingface.co/collections/skit-ai/speechllm-66605bfb37a54d4e4a60efe2) [![Code License](https://img.shields.io/badge/Code%20License-Apache_2.0-green.svg)](https://github.com/skit-ai/SpeechLLM/blob/main/LICENSE) [![github](https://img.shields.io/badge/-Github-black?logo=github)](https://github.com/skit-ai/SpeechLLM.git)[![GitHub stars](https://img.shields.io/github/stars/skit-ai/SpeechLLM?style=social)](https://github.com/skit-ai/SpeechLLM/stargazers)
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  ![](./speechllm.png)
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  SpeechLLM is a multi-modal LLM trained to predict the metadata of the speaker's turn in a conversation. speechllm-2B model is based on HubertX audio encoder and TinyLlama LLM. The model predicts the following:
 
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  # SpeechLLM
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  ![](./speechllm.png)
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  SpeechLLM is a multi-modal LLM trained to predict the metadata of the speaker's turn in a conversation. speechllm-2B model is based on HubertX audio encoder and TinyLlama LLM. The model predicts the following: