Tag: quantization

  • 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…

  • Cloud Blog: Google Public Sector supports AI-optimized HPC infrastructure for researchers at Caltech

    Source URL: https://cloud.google.com/blog/topics/public-sector/google-public-sector-supports-ai-optimized-hpc-infrastructure-for-researchers-at-caltech/ Source: Cloud Blog Title: Google Public Sector supports AI-optimized HPC infrastructure for researchers at Caltech Feedly Summary: For decades, institutions like Caltech, have been at the forefront of large-scale artificial intelligence (AI) research. As high-performance computing (HPC) clusters continue to evolve, researchers across disciplines have been increasingly equipped to process massive datasets,…

  • Simon Willison’s Weblog: Introducing Gemma 3n: The developer guide

    Source URL: https://simonwillison.net/2025/Jun/26/gemma-3n/ Source: Simon Willison’s Weblog Title: Introducing Gemma 3n: The developer guide Feedly Summary: Introducing Gemma 3n: The developer guide Extremely consequential new open weights model release from Google today: Multimodal by design: Gemma 3n natively supports image, audio, video, and text inputs and text outputs. Optimized for on-device: Engineered with a focus…

  • Simon Willison’s Weblog: Mistral-Small 3.2

    Source URL: https://simonwillison.net/2025/Jun/20/mistral-small-32/ Source: Simon Willison’s Weblog Title: Mistral-Small 3.2 Feedly Summary: Mistral-Small 3.2 Released on Hugging Face a couple of hours ago, so far there aren’t any quantizations to run it on a Mac but I’m sure those will emerge pretty quickly. This is a minor bump to Mistral Small 3.1, one of my…

  • Cloud Blog: Google AI Edge Portal: On-device machine learning testing at scale

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-edge-portal-brings-on-device-ml-testing-at-scale/ Source: Cloud Blog Title: Google AI Edge Portal: On-device machine learning testing at scale Feedly Summary: Today, we’re excited to announce Google AI Edge Portal in private preview, Google Cloud’s new solution for testing and benchmarking on-device machine learning (ML) at scale.  Machine learning on mobile devices enables amazing app experiences. But…

  • Simon Willison’s Weblog: Gemma 3 QAT Models

    Source URL: https://simonwillison.net/2025/Apr/19/gemma-3-qat-models/ Source: Simon Willison’s Weblog Title: Gemma 3 QAT Models Feedly Summary: Gemma 3 QAT Models Interesting release from Google, as a follow-up to Gemma 3 from last month: To make Gemma 3 even more accessible, we are announcing new versions optimized with Quantization-Aware Training (QAT) that dramatically reduces memory requirements while maintaining…

  • Simon Willison’s Weblog: deepseek-ai/DeepSeek-V3-0324

    Source URL: https://simonwillison.net/2025/Mar/24/deepseek/ Source: Simon Willison’s Weblog Title: deepseek-ai/DeepSeek-V3-0324 Feedly Summary: deepseek-ai/DeepSeek-V3-0324 Chinese AI lab DeepSeek just released the latest version of their enormous DeepSeek v3 model, baking the release date into the name DeepSeek-V3-0324. The license is MIT, the README is empty and the release adds up a to a total of 641 GB…

  • Simon Willison’s Weblog: deepseek-ai/DeepSeek-V3-0324

    Source URL: https://simonwillison.net/2025/Mar/24/deepseek/ Source: Simon Willison’s Weblog Title: deepseek-ai/DeepSeek-V3-0324 Feedly Summary: deepseek-ai/DeepSeek-V3-0324 Chinese AI lab DeepSeek just released the latest version of their enormous DeepSeek v3 model, baking the release date into the name DeepSeek-V3-0324. The license is MIT, the README is empty and the release adds up a to a total of 641 GB…