Tag: Qwen

  • Simon Willison’s Weblog: Qwen3-4B Instruct and Thinking

    Source URL: https://simonwillison.net/2025/Aug/6/qwen3-4b-instruct-and-thinking/ Source: Simon Willison’s Weblog Title: Qwen3-4B Instruct and Thinking Feedly Summary: Qwen3-4B Instruct and Thinking Yet another interesting model from Qwen—these are tiny compared to their other recent releases (just 4B parameters, 7.5GB on Hugging Face and even smaller when quantized) but with a 262,144 context length, which Qwen suggest is essential…

  • Simon Willison’s Weblog: OpenAI’s new open weight (Apache 2) models are really good

    Source URL: https://simonwillison.net/2025/Aug/5/gpt-oss/ Source: Simon Willison’s Weblog Title: OpenAI’s new open weight (Apache 2) models are really good Feedly Summary: The long promised OpenAI open weight models are here, and they are very impressive. They’re available under proper open source licenses – Apache 2.0 – and come in two sizes, 120B and 20B. OpenAI’s own…

  • Cloud Blog: Announcements for AI Hypercomputer: The latest infrastructure news for ML practitioners

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/q2-2025-ai-hypercomputer-updates/ Source: Cloud Blog Title: Announcements for AI Hypercomputer: The latest infrastructure news for ML practitioners Feedly Summary: Curious about the latest in AI infrastructure from Google Cloud? Every three months we share a roundup of the latest AI Hypercomputer news, resources, events, learning opportunities, and more. Read on to learn new ways…

  • Tomasz Tunguz: Small Action Models Are the Future of AI Agents

    Source URL: https://www.tomtunguz.com/local-instructions/ Source: Tomasz Tunguz Title: Small Action Models Are the Future of AI Agents Feedly Summary: 2025 is the year of agents, & the key capability of agents is calling tools. When using Claude Code, I can tell the AI to sift through a newsletter, find all the links to startups, verify they…

  • Simon Willison’s Weblog: XBai o4

    Source URL: https://simonwillison.net/2025/Aug/3/xbai-o4/#atom-everything Source: Simon Willison’s Weblog Title: XBai o4 Feedly Summary: XBai o4 Yet another open source (Apache 2.0) LLM from a Chinese AI lab. This model card claims: XBai o4 excels in complex reasoning capabilities and has now completely surpassed OpenAI-o3-mini in Medium mode. This a 32.8 billion parameter model released by MetaStone…

  • Simon Willison’s Weblog: Faster inference

    Source URL: https://simonwillison.net/2025/Aug/1/faster-inference/ Source: Simon Willison’s Weblog Title: Faster inference Feedly Summary: Two interesting examples of inference speed as a flagship feature of LLM services today. First, Cerebras announced two new monthly plans for their extremely high speed hosted model service: Cerebras Code Pro ($50/month, 1,000 messages a day) and Cerebras Code Max ($200/month, 5,000/day).…

  • Simon Willison’s Weblog: Trying out Qwen3 Coder Flash using LM Studio and Open WebUI and LLM

    Source URL: https://simonwillison.net/2025/Jul/31/qwen3-coder-flash/ Source: Simon Willison’s Weblog Title: Trying out Qwen3 Coder Flash using LM Studio and Open WebUI and LLM Feedly Summary: Qwen just released their sixth model(!) for this July called Qwen3-Coder-30B-A3B-Instruct – listed as Qwen3-Coder-Flash in their chat.qwen.ai interface. It’s 30.5B total parameters with 3.3B active at any one time. This means…

  • The Register: Alibaba admits Qwen3’s hybrid-thinking mode was dumb

    Source URL: https://www.theregister.com/2025/07/31/alibaba_qwen3_hybrid_thinking/ Source: The Register Title: Alibaba admits Qwen3’s hybrid-thinking mode was dumb Feedly Summary: Chinese e-commerce giant is going back to dedicated instruct and thinking-tuned models as they prioritize quality over convenience One of the headline features of Alibaba’s Qwen 3 family of models when they launched back in April was the ability…