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Tag: hugging

  • Hacker News: Using pip to install a Large Language Model that’s under 100MB

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/7/pip-install-llm-smollm2/ Source: Hacker News Title: Using pip to install a Large Language Model that’s under 100MB Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the release of a new Python package, llm-smollm2, which allows users to install a quantized Large Language Model (LLM) under 100MB through pip. It provides…

  • Simon Willison’s Weblog: Using pip to install a Large Language Model that’s under 100MB

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/7/pip-install-llm-smollm2/ Source: Simon Willison’s Weblog Title: Using pip to install a Large Language Model that’s under 100MB Feedly Summary: I just released llm-smollm2, a new plugin for LLM that bundles a quantized copy of the SmolLM2-135M-Instruct LLM inside of the Python package. This means you can now pip install a full LLM! If…

  • Slashdot: Hugging Face Clones OpenAI’s Deep Research In 24 Hours

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    Kurt Seifried
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    Source URL: https://news.slashdot.org/story/25/02/06/216251/hugging-face-clones-openais-deep-research-in-24-hours?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Hugging Face Clones OpenAI’s Deep Research In 24 Hours Feedly Summary: AI Summary and Description: Yes Summary: The release of Hugging Face’s Open Deep Research marks a significant development in open-source AI, as it offers an autonomous web-browsing research agent that aims to replicate OpenAI’s Deep Research capabilities. This…

  • Simon Willison’s Weblog: S1: The $6 R1 Competitor?

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/5/s1-the-6-r1-competitor/ Source: Simon Willison’s Weblog Title: S1: The $6 R1 Competitor? Feedly Summary: S1: The $6 R1 Competitor? Tim Kellogg shares his notes on a new paper, s1: Simple test-time scaling, which describes an inference-scaling model fine-tuned on top of Qwen2.5-32B-Instruct for just $6 – the cost for 26 minutes on 16 NVIDIA…

  • Hacker News: Calculate the number of language model tokens for a string

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    Kurt Seifried
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    Source URL: https://blog.mastykarz.nl/calculate-number-language-model-tokens-string/ Source: Hacker News Title: Calculate the number of language model tokens for a string Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides guidance on calculating the number of language model tokens for a given string, which is essential for developers working with AI and NLP applications. The method…

  • Hacker News: Show HN: Klarity – Open-source tool to analyze uncertainty/entropy in LLM output

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    Kurt Seifried
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    Source URL: https://github.com/klara-research/klarity Source: Hacker News Title: Show HN: Klarity – Open-source tool to analyze uncertainty/entropy in LLM output Feedly Summary: Comments AI Summary and Description: Yes **Summary:** Klarity is a robust tool designed for analyzing uncertainty in generative model predictions. By leveraging both raw probability and semantic comprehension, it provides unique insights into model…

  • Hacker News: A step-by-step guide on deploying DeepSeek-R1 671B locally

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    Kurt Seifried
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    Source URL: https://snowkylin.github.io/blogs/a-note-on-deepseek-r1.html Source: Hacker News Title: A step-by-step guide on deploying DeepSeek-R1 671B locally Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a detailed guide for deploying DeepSeek R1 671B AI models locally using ollama, including hardware requirements, installation steps, and observations on model performance. This information is particularly relevant…

  • Hacker News: Mistral Small 3

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    Kurt Seifried
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    Source URL: https://mistral.ai/news/mistral-small-3/ Source: Hacker News Title: Mistral Small 3 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Mistral Small 3, a new 24B-parameter model optimized for latency, designed for generative AI tasks. It highlights the model’s competitive performance compared to larger models, its suitability for local deployment, and its potential…

  • Hacker News: DeepSeek’s Hidden Bias: How We Cut It by 76% Without Performance Loss

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    Kurt Seifried
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    Source URL: https://www.hirundo.io/blog/deepseek-r1-debiased Source: Hacker News Title: DeepSeek’s Hidden Bias: How We Cut It by 76% Without Performance Loss Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the pressing issue of bias in large language models (LLMs), particularly in customer-facing industries where compliance and fairness are paramount. It highlights Hirundo’s innovative…

  • Hacker News: Open-R1: an open reproduction of DeepSeek-R1

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    Kurt Seifried
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    Source URL: https://huggingface.co/blog/open-r1 Source: Hacker News Title: Open-R1: an open reproduction of DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the release of DeepSeek-R1, a language model that significantly enhances reasoning capabilities through advanced training techniques, including reinforcement learning. The Open-R1 project aims to replicate and build upon DeepSeek-R1’s methodologies…