Has to go down the history books! What a legendary team and acquisition! Coincidentally, outside of transformers my real entry point to HF Hub was through spaces and Gradio. Still remember the feeling of putting together a nicely packaged demo in less than 7 lines of code.
OPEN SOURCE
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French Government Selects LFM 40B for LLM Comparison
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Happy to see that LFM 40B has been selected by the French government (
@MinistereCC
) for its LLM comparison. Thanks to @_jpacifico for pointing it out (and congrats on Chocolatine). You can access it here: https://
comparia.beta.gouv.fr -
Open-source democratizes robotics for developers worldwide
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Fascinating to witness firsthand what's happening in robotics at our first LeRobot Hackathon last weekend Open-source is doing to robotics what it did to software 20 years ago:
– Democratizing what was once limited to $100M+ funded teams
– Making it accessible to any dev (with -
Documentation importance and developer diversity in software development
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I disagree and that’s a bad take IMO – some of the great devs that I know and look up to are from India.. and besides updating docs is quite important for code/ library adoption. FWIW – I update docs for libs that I care about and for our internal libs too.
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Yi Model Adoption Surges with Ollama and Hugging Face Integration
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Thrilled to see such widespread adoption of Yi! Huge thanks to @huggingface, @ollama, and mradermacher for your incredible support! ollama run hf(.)co/mradermacher/Yi-1.5-34B-Chat-16K-GGUF #Yi34B #LLM #AI Julien Chaumond (@julien_c) The @ollama – @huggingface integration has been rolled out for 1 week now, how it’s going? Obviously, pretty well! We’re having on average 4500 pulls per day. That’s about one pull every 20 seconds! What’s the top models you may ask? Llama-3.2-1B still on top thanks to its small size but yet still providing very helpful responses. Try it yourself! ollama run hf(.)co/bartowski/Llama-3.2-1B-Instruct-GGUF via @ngxson 🐐 and cc @bartowski1182 — https://nitter.net/julien_c/status/1850844166755864966#m
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Lightning Fast AI Hackathon: $10k Prize Pool and Gradio Partnership
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ICYMI, here's the latest developer updates & insights: Lightning Fast AI Hackathon – $10k Prize Pool 2 New Features! @Gradio Partnership More in thread
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Llama 3.1 Improves Context Length and Launches Multimodal Vision
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New Features Improved Context Length On Llama 3.1 8B & 70B, we improved context lengths. Up to 16K on 8B & 64k on 70B! Launching Multimodal We are releasing Llama 3.1 11B & 90B w/ Vision. These models can analyze images & respond to text prompts!
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Meta Llama 3.2 Lightning Fast AI Hackathon $10k Prize
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Want your shot at our $10k prize pool?💰
— SambaNova (@SambaNovaAI) 29 octobre 2024
Build with fast AI inferencing on @AIatMeta's Llama 3.2, where you can achieve speeds of 2470 tokens per sec on 1B and 1566 tokens per sec on 3B.
Join our Lightning Fast #AI #Hackathon ⤵️Want your shot at our $10k prize pool? Build with fast AI inferencing on @AIatMeta
's Llama 3.2, where you can achieve speeds of 2470 tokens per sec on 1B and 1566 tokens per sec on 3B. Join our Lightning Fast #AI #Hackathon -
Top-k and Top-p Sampling Strategies for LLMs Explained
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There's been a lot of interest around sampling recently with entropix.
— Maxime Labonne @ ICLR (@maximelabonne) 29 octobre 2024
I just uploaded my first LLM blog post to HF, which talked about top-k and top-p sampling with easy-to-understand visualizations and code.
📝 Article: https://t.co/cgoP59fED4 pic.twitter.com/DJ45ToDtPnThere's been a lot of interest around sampling recently with entropix. I just uploaded my first LLM blog post to HF, which talked about top-k and top-p sampling with easy-to-understand visualizations and code. Article: https://
huggingface.co/blog/mlabonne/
decoding-strategies
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