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Source channel @githubtrending · Post #14715 · May 17

#python#ai#ai_art#art#asset_generator#chatbot#deep_learning#desktop_app#image_generation#mistral#multimodal#privacy#pygame#pyside6#python#self_hosted#speech_to_text#stable_diffusion#text_to_image#text_to_speech#text_to_speech_app AI Runner is a tool that lets you use AI on your own computer without needing the internet. It can do many things like **voice chatbots**, **text-to-image** generation, and **image editing**. You can also make AI personalities for more interesting conversations. It runs fast and securely, keeping your data private. To use AI Runner, you need a good computer with a strong GPU, like an NVIDIA RTX 3060 or better. This helps keep your data safe and makes AI tasks faster. https://github.com/Capsize-Games/airunner

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Machinelearning

@ai_machinelearning_big_data · Post #8519 · 09/11/2025, 06:21 PM

🚀 Релиз:Qwen3-Next-80B-A3B - эффективная модель заточенная на работа работу с очень длинным контекстом! 🔹80B параметров, но активируется только 3B на токен → тренировка и инференс 10x дешевле и быстрее, чем у Qwen3-32B (особенно при 32K+ контексте). 🔹Гибридная архитектура: Gated DeltaNet + Gated Attention → сочетает скорость и точность. 🔹Ultra-sparse MoE: 512 экспертов, маршрутизируется 10 + 1 общий. 🔹Multi-Token Prediction → ускоренное speculative decoding. 🔹 По производительности обходит Qwen3-32B и приближается к Qwen3-235B в рассуждениях и long-context задачах. 🟢Qwen3-Next-80B-A3B-Instruct показатели почти на уровне 235B flagship. 🟢Qwen3-Next-80B-A3B-Thinking превосходит Gemini-2.5-Flash-Thinking. ▪Попробовать: https://chat.qwen.ai ▪Анонс: https://qwen.ai/blog?id=4074cca80393150c248e508aa62983f9cb7d27cd&from=research.latest-advancements-list ▪ HuggingFace: https://huggingface.co/collections/Qwen/qwen3-next-68c25fd6838e585db8eeea9d ▪ ModelScope: https://modelscope.cn/collections/Qwen3-Next-c314f23bd0264a ▪Kaggle: https://kaggle.com/models/qwen-lm/qwen3-next-80b ▪ Alibaba Cloud API: https://alibabacloud.com/help/en/model-studio/models#c5414da58bjgj @ai_machinelearning_big_data #AI#LLM#Qwen#DeepLearning#MoE#EfficientModels#LongContext#Reasonin