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Tag: Llama 3.2

  • Simon Willison’s Weblog: Open WebUI

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    Source URL: https://simonwillison.net/2024/Dec/27/open-webui/#atom-everything Source: Simon Willison’s Weblog Title: Open WebUI Feedly Summary: Open WebUI I tried out this open source (MIT licensed, JavaScript and Python) localhost UI for accessing LLMs today for the first time. It’s very nicely done. I ran it with uvx like this: uvx –python 3.11 open-webui serve On first launch it…

  • Simon Willison’s Weblog: I can now run a GPT-4 class model on my laptop

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    Source URL: https://simonwillison.net/2024/Dec/9/llama-33-70b/ Source: Simon Willison’s Weblog Title: I can now run a GPT-4 class model on my laptop Feedly Summary: Meta’s new Llama 3.3 70B is a genuinely GPT-4 class Large Language Model that runs on my laptop. Just 20 months ago I was amazed to see something that felt GPT-3 class run on…

  • Simon Willison’s Weblog: New Pleias 1.0 LLMs trained exclusively on openly licensed data

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    Source URL: https://simonwillison.net/2024/Dec/5/pleias-llms/#atom-everything Source: Simon Willison’s Weblog Title: New Pleias 1.0 LLMs trained exclusively on openly licensed data Feedly Summary: New Pleias 1.0 LLMs trained exclusively on openly licensed data I wrote about the Common Corpus public domain dataset back in March. Now Pleias, the team behind Common Corpus, have released the first family of…

  • Hacker News: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders

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    Source URL: https://github.com/PaulPauls/llama3_interpretability_sae Source: Hacker News Title: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a research project focused on the interpretability of the Llama 3 language model using Sparse Autoencoders (SAEs). This project aims to extract more clearly interpretable features from…

  • Simon Willison’s Weblog: TextSynth Server

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    Source URL: https://simonwillison.net/2024/Nov/21/textsynth-server/ Source: Simon Willison’s Weblog Title: TextSynth Server Feedly Summary: TextSynth Server I’d missed this: Fabrice Bellard (yes, that Fabrice Bellard) has a project called TextSynth Server which he describes like this: ts_server is a web server proposing a REST API to large language models. They can be used for example for text…

  • Hacker News: You could have designed state of the art positional encoding

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    Source URL: https://fleetwood.dev/posts/you-could-have-designed-SOTA-positional-encoding Source: Hacker News Title: You could have designed state of the art positional encoding Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evolution of positional encoding in transformer models, specifically focusing on Rotary Positional Encoding (RoPE) as utilized in modern language models like Llama 3.2. It explains…

  • Cloud Blog: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-deploy-llama-3-2-1b-instruct-model-with-google-cloud-run/ Source: Cloud Blog Title: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU Feedly Summary: As open-source large language models (LLMs) become increasingly popular, developers are looking for better ways to access new models and deploy them on Cloud Run GPU. That’s why Cloud Run now offers fully managed NVIDIA…

  • Simon Willison’s Weblog: Ollama: Llama 3.2 Vision

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    Source URL: https://simonwillison.net/2024/Nov/13/ollama-llama-vision/#atom-everything Source: Simon Willison’s Weblog Title: Ollama: Llama 3.2 Vision Feedly Summary: Ollama: Llama 3.2 Vision Ollama released version 0.4 last week with support for Meta’s first Llama vision model, Llama 3.2. If you have Ollama installed you can fetch the 11B model (7.9 GB) like this: ollama pull llama3.2-vision Or the larger…

  • Hacker News: Ollama 0.4 is released with support for Meta’s Llama 3.2 Vision models locally

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    Source URL: https://ollama.com/blog/llama3.2-vision Source: Hacker News Title: Ollama 0.4 is released with support for Meta’s Llama 3.2 Vision models locally Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the availability and usage of Llama 3.2 Vision within the Ollama framework, highlighting its capabilities in image analysis, including Optical Character Recognition (OCR).…

  • Hacker News: Cerebras Trains Llama Models to Leap over GPUs

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    Source URL: https://www.nextplatform.com/2024/10/25/cerebras-trains-llama-models-to-leap-over-gpus/ Source: Hacker News Title: Cerebras Trains Llama Models to Leap over GPUs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Cerebras Systems’ advancements in AI inference performance, particularly highlighting its WSE-3 hardware and its ability to outperform Nvidia’s GPUs. With a reported performance increase of 4.7X and significant…