Llama3-s v0.2 is a multimodal checkpoint developed by Homebrew Computer Company, focusing on improving speech comprehension capabilities. This model enhances its performance through early integration of semantic tagging and community feedback to streamline its structure, improve compression efficiency, and ensure consistent feature extraction from speech. Llama3-s v0.2 demonstrates stable performance across multiple speech understanding benchmarks and offers a live demo for users to experience its functionalities firsthand. Although the model is still in early development and has certain limitations—such as sensitivity to audio compression and a maximum handling time of 10 seconds for audio—the team intends to address these issues in future updates.