apache-2.0
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apache-2.0
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1 QuelleVerifiziert 27. Sept.
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2 Auszügemmproj-F32.gguf
gguf · 4,90 GB · SHA-256 7b6de7fc8f1e…687f · Hugging Face
--- base_model: - Qwen/Qwen2.5-Omni-7B license: other license_name: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen2.5-Omni-7B/blob/main/LICENSE language: - en tags: - multimodal - unsloth library_name: transformers pipeline_tag: any-to-any --- <div> <p style="margin-top: 0;margin-bottom: 0;"> <em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em> </p> <div style="display: flex; gap: 5px; align-items: center; "> <a href="https://github.com/unslothai/unsloth/"> <img src="https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png" width="133"> </a> <a href="https://discord.gg/unsloth"> <img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173"> </a> <a href="https://docs.unsloth.ai/basics/qwen3-how-to-run-and-fine-tune"> <img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143"> </a> </div> </div> # Qwen2.5-Omni <a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;"> <img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/> </a> ## Overview ### Introduction Qwen2.5-Omni is an end-to-end multimodal model designed to perceive diverse modalities, including text, images, audio, and video, while simultaneously generating text and natural speech responses in a streaming manner. <p align="center"> <img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2.5-Omni/qwen_omni.png" width="80%"/> <p> ### Key Features * **Omni and Novel Architecture**: We propose Thinker-Talker architecture, an end-to-end multimodal model designed to perceive diverse modalities, including text, images, audio, and video, while simultaneously generating text and natural speech responses in a streaming manner. We propose a novel position embedding, named TMRoPE (Time-aligned Multimodal RoPE), to synchronize the timestamps of video inputs with audio. * **Real-Time Voice and Video Chat**: Architecture designed for fully real-time interactions, supporting chunked input and immediate output. * **Natural and Robust Speech Generation**: Surpassing many existing streaming and non-streaming alternatives, demonstrating...
Source context: 121 downloads · 0 likes · Pipeline any-to-any · Library transformers · Repo johnwuisman/qwen2.5-omni-7B-oss120b-distill