very cool! uses llama-server from @ggerganov @huggingface under the hood? cc @julien_c @XciD_
@clementdelangue
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Local AI’s Rise: Free, Faster, Safer Alternative
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Local is the future of AI because it’s free, safer & faster. It’s also the best way to mitigate current and future compute shortages and distribute control & power! Local AI is having its moment and we’re here for it! The blogpost with all the weights and best ways to use is
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Google DeepMind Launches Gemma 4 Large Language Model
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Let's go https://
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Google Releases Gemma 4 Open Source LLM Locally
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So happy to see Google release Gemma 4 today in apache 2.0 that gives you frontier capabilities locally. You can use it right away in all your favorite open agent platforms like openclaw, opencode, pi, Hermes by asking it to change your model to local gemma 4 with
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Buckets: S3-like ML Data Storage Alternative to Git
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Hot take: Git was the wrong abstraction for 90% of ML data. Checkpoints, optimizer states, training logs, agent traces – none of this needs version control. It needs fast, cheap, mutable storage. So we built Buckets. S3-like storage on the @huggingface Hub with Xet dedup and
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Closed Source APIs Dominate While Open Models Lack Support
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These are all designed for the closed source APIs not for open models unfortunately
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Open Models vs Closed APIs: Comparing Apples and Oranges
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That’s why I usually say that comparing open models with closed-source APIs or products is like comparing apples and oranges. Or comparing an engine with a full car. Or comparing an ingredient with a Michelin dinner (missing ingredients, prep and chef). There’s a lot of
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TRL v1 Released: 75+ Methods for Model Post-Training
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Today we’re releasing TRL v1. 75+ methods. SFT, DPO, GRPO, async RL to take advantage of the latest and greatest open-source. 6 years from first commit to the library that post-trains most open models in the world. Built to be future proof. pip install trl
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AI Tools Democratization Drives Need for Business Differentiation
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In a world where everyone can build websites, apps and features easily (thank you Cursor, Lovable, Claude and the likes), it will take more for you and your company to differentiate themselves (which is in my opinion the basis for success). That's why we're seeing more and more
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Open-source models for agent tools over closed APIs
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It’s time for open-source agent tools to rely primarily on open-source models, instead of closed-source APIs that send all your data to the cloud and ultimately will get hacked and/or shut down