Tag: model accessibility

  • Docker: Fine-Tuning Local Models with Docker Offload and Unsloth

    Source URL: https://www.docker.com/blog/fine-tuning-models-with-offload-and-unsloth/ Source: Docker Title: Fine-Tuning Local Models with Docker Offload and Unsloth Feedly Summary: I’ve been experimenting with local models for a while now, and the progress in making them accessible has been exciting. Initial experiences are often fantastic, many models, like Gemma 3 270M, are lightweight enough to run on common hardware.…

  • Simon Willison’s Weblog: Four new releases from Qwen

    Source URL: https://simonwillison.net/2025/Sep/22/qwen/ Source: Simon Willison’s Weblog Title: Four new releases from Qwen Feedly Summary: It’s been an extremely busy day for team Qwen. Within the last 24 hours (all links to Twitter, which seems to be their preferred platform for these announcements): Qwen3-Next-80B-A3B-Instruct-FP8 and Qwen3-Next-80B-A3B-Thinking-FP8 – official FP8 quantized versions of their Qwen3-Next models.…

  • Simon Willison’s Weblog: Devstral

    Source URL: https://simonwillison.net/2025/May/21/devstral/#atom-everything Source: Simon Willison’s Weblog Title: Devstral Feedly Summary: Devstral New Apache 2.0 licensed LLM release from Mistral, this time specifically trained for code. Devstral achieves a score of 46.8% on SWE-Bench Verified, outperforming prior open-source SoTA models by more than 6% points. When evaluated under the same test scaffold (OpenHands, provided by…

  • Docker: Introducing Docker Model Runner: A Better Way to Build and Run GenAI Models Locally

    Source URL: https://www.docker.com/blog/introducing-docker-model-runner/ Source: Docker Title: Introducing Docker Model Runner: A Better Way to Build and Run GenAI Models Locally Feedly Summary: Docker Model Runner is a faster, simpler way to run and test AI models locally, right from your existing workflow. AI Summary and Description: Yes Summary: The text discusses the launch of Docker…