QwenLM/Qwen3-Omni Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time. Language: Jupyter Notebook Stars: 882 Issues: 0 Forks: 30 https://github.com/QwenLM/Qwen3-Omni
QwenLM/Qwen3-Omni Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time. Language: Jupyter Notebook Stars: 882 Issues: 0 Forks: 30 https://github.com/QwenLM/Qwen3-Omni
Some Telegram Channels content management tips Just as the Bitcoin turmoil continues, crypto traders have taken to Telegram to voice their feelings. Crypto investors can reduce their anxiety about losses by joining the “Bear Market Screaming Therapy Group” on Telegram. Telegram has announced a number of measures aiming to tackle the spread of disinformation through its platform in Brazil. These features are part of an agreement between the platform and the country's authorities ahead of the elections in October. The group also hosted discussions on committing arson, Judge Hui said, including setting roadblocks on fire, hurling petrol bombs at police stations and teaching people to make such weapons. The conversation linked to arson went on for two to three months, Hui said. The Standard Channel
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