WorldSeek Omni 2B Preview

--- library_name: transformers license: apache-2.0 pipeline_tag: any-to-any base_model: - Qwen/Qwen3.5-2B - Qwen/Qwen3-ASR-1.7B tags: - transformers - safetensors - pytorch - worldseek-omni - omni - multimodal - audio - image - video - text --- # WorldSeek-Omni-2B-Preview <p align="center"> <b>Language</b>: English | <a href="https://huggingface.co/WorldSeek-AI/WorldSeek-Omni-2B-Preview/blob/main/README-CN.md">简体中文</a> </p> <p align="center"> <img src="./image/worldseek_logo.png" alt="WorldSeek logo" width="260"> </p> <p align="center"> <img src="./image/worldseek_omni_banner.png" alt="WorldSeek-Omni banner" width="100%"> </p> > [!Note] > This repository contains the model weights, configuration files, and inference scripts for WorldSeek-Omni-2B-Preview. > > This is a preview release intended for research, evaluation, and development integration. Complete benchmark results, dataset documentation, and model-card details for the final release will be added in a later update. > > WorldSeek-Omni-2B-Preview is an early checkpoint of WorldSeek-Omni-2B. The full training process has not yet been completed, so capabilities and benchmark results should be interpreted as preview-stage behavior rather than final model performance. WorldSeek-Omni-2B-Preview is an omni model built on Qwen3.5-2B and Qwen3-ASR-1.7B. It preserves the text and vision-language capabilities of Qwen3.5-2B while integrating the AuT audio encoder from Qwen3-ASR-1.7B for speech input and speech recognition tasks. ## Resources - Official Website: https://www.worldseek-ai.com/ - ModelScope: https://modelscope.cn/models/WorldSeek-AI/WorldSeek-Omni-2B-Preview - Hugging Face: https://huggingface.co/WorldSeek-AI/WorldSeek-Omni-2B-Preview - GitHub: https://github.com/WorldSeek-AI/WorldSeek-Omni-2B-Preview ## Highlights - **Omni input support**: Supports text, image, and audio inputs. Video input can follow the Qwen3.5 multimodal message format when supported by the serving backend. - **Qwen3.5-2B backbone**: Text, image, and OpenAI-compatible multimodal usage follow the Qwen3.5 model family. - **Qwen3-ASR-1.7B audio tower**: The audio encoder is adapted from Qwen3-ASR-1.7B and connected to the Qwen3.5-2B language model. - **Chinese and English ASR**: The preview release currently focuses on Chinese and English speech recognition. Quality is still being i...