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Tag: model weights

  • Simon Willison’s Weblog: Quantization matters

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    Source URL: https://simonwillison.net/2024/Nov/23/quantization-matters/#atom-everything Source: Simon Willison’s Weblog Title: Quantization matters Feedly Summary: Quantization matters What impact does quantization have on the performance of an LLM? been wondering about this for quite a while, now here are numbers from Paul Gauthier. He ran differently quantized versions of Qwen 2.5 32B Instruct through his Aider code editing…

  • Hacker News: Watermark Anything

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    Source URL: https://github.com/facebookresearch/watermark-anything Source: Hacker News Title: Watermark Anything Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “Watermark Anything,” a method for embedding localized watermarks into images using pretrained models and a specific implementation within a Python environment. It outlines the installation process, utilization of the COCO dataset for training, and…

  • Cloud Blog: Data loading best practices for AI/ML inference on GKE

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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/improve-data-loading-times-for-ml-inference-apps-on-gke/ Source: Cloud Blog Title: Data loading best practices for AI/ML inference on GKE Feedly Summary: As AI models increase in sophistication, there’s increasingly large model data needed to serve them. Loading the models and weights along with necessary frameworks to serve them for inference can add seconds or even minutes of scaling…

  • Hacker News: OpenCoder: Open Cookbook for Top-Tier Code Large Language Models

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    Source URL: https://opencoder-llm.github.io/ Source: Hacker News Title: OpenCoder: Open Cookbook for Top-Tier Code Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: OpenCoder represents a significant advancement in the field of code-focused language models (LLMs) by being a completely open-source project. It leverages a transparent data process and extensive training datasets that…

  • Hacker News: OpenCoder: Open-Source LLM for Coding

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    Source URL: https://arxiv.org/abs/2411.04905 Source: Hacker News Title: OpenCoder: Open-Source LLM for Coding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “OpenCoder,” a large language model (LLM) specifically designed for code generation and related tasks. It highlights the importance of transparency in AI research by providing not only the model but also…

  • Cloud Blog: How to deploy and serve multi-host gen AI large open models over GKE

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploy-and-serve-open-models-over-google-kubernetes-engine/ Source: Cloud Blog Title: How to deploy and serve multi-host gen AI large open models over GKE Feedly Summary: Context As generative AI experiences explosive growth fueled by advancements in LLMs (Large Language Models), access to open models is more critical than ever for developers. Open models are publicly available pre-trained foundational…

  • Simon Willison’s Weblog: Nous Hermes 3

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    Source URL: https://simonwillison.net/2024/Nov/4/nous-hermes-3/#atom-everything Source: Simon Willison’s Weblog Title: Nous Hermes 3 Feedly Summary: Nous Hermes 3 The Nous Hermes family of fine-tuned models have a solid reputation. Their most recent release came out in August, based on Meta’s Llama 3.1: Our training data aggressively encourages the model to follow the system and instruction prompts exactly…

  • Hacker News: SmolLM2

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    Source URL: https://simonwillison.net/2024/Nov/2/smollm2/ Source: Hacker News Title: SmolLM2 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces SmolLM2, a new family of compact language models from Hugging Face, designed for lightweight on-device operations. The models, which range from 135M to 1.7B parameters, were trained on 11 trillion tokens across diverse datasets, showcasing…

  • Simon Willison’s Weblog: SmolLM2

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    Source URL: https://simonwillison.net/2024/Nov/2/smollm2/#atom-everything Source: Simon Willison’s Weblog Title: SmolLM2 Feedly Summary: SmolLM2 New from Loubna Ben Allal and her research team at Hugging Face: SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They are capable of solving a wide range of tasks while being lightweight enough…

  • METR Blog – METR: Common Elements of Frontier AI Safety Policies

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    Source URL: https://metr.org/blog/2024-08-29-common-elements-of-frontier-ai-safety-policies/ Source: METR Blog – METR Title: Common Elements of Frontier AI Safety Policies Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the Frontier AI Safety Commitments made by sixteen developers of large foundation models at the AI Seoul Summit, which focus on risk evaluation and mitigation strategies to ensure…