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Assaf Vayner

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upvoted an article 26 days ago
In-browser LLM app in pure Python: Gemini Nano + Gradio-Lite
reacted to jsulz's post with 🧠 about 1 month ago
When the XetHub crew joined Hugging Face this fall, @erinys and I started brainstorming how to share our work to replace Git LFS on the Hub. Uploading and downloading large models and datasets takes precious time. That’s where our chunk-based approach comes in. Instead of versioning files (like Git and Git LFS), we version variable-sized chunks of data. For the Hugging Face community, this means: ⏩ Only upload the chunks that changed. 🚀 Download just the updates, not the whole file. 🧠 We store your file as deduplicated chunks In our benchmarks, we found that using CDC to store iterative model and dataset version led to transfer speedups of ~2x, but this isn’t just a performance boost. It’s a rethinking of how we manage models and datasets on the Hub. We're planning on our new storage backend to the Hub in early 2025 - check out our blog to dive deeper, and let us know: how could this improve your workflows? https://huggingface.co/blog/from-files-to-chunks
reacted to jsulz's post with ❤️ about 1 month ago
When the XetHub crew joined Hugging Face this fall, @erinys and I started brainstorming how to share our work to replace Git LFS on the Hub. Uploading and downloading large models and datasets takes precious time. That’s where our chunk-based approach comes in. Instead of versioning files (like Git and Git LFS), we version variable-sized chunks of data. For the Hugging Face community, this means: ⏩ Only upload the chunks that changed. 🚀 Download just the updates, not the whole file. 🧠 We store your file as deduplicated chunks In our benchmarks, we found that using CDC to store iterative model and dataset version led to transfer speedups of ~2x, but this isn’t just a performance boost. It’s a rethinking of how we manage models and datasets on the Hub. We're planning on our new storage backend to the Hub in early 2025 - check out our blog to dive deeper, and let us know: how could this improve your workflows? https://huggingface.co/blog/from-files-to-chunks
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upvoted an article 26 days ago
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In-browser LLM app in pure Python: Gemini Nano + Gradio-Lite

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reacted to jsulz's post with 🧠❤️🔥 about 1 month ago
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When the XetHub crew joined Hugging Face this fall, @erinys and I started brainstorming how to share our work to replace Git LFS on the Hub. Uploading and downloading large models and datasets takes precious time. That’s where our chunk-based approach comes in.

Instead of versioning files (like Git and Git LFS), we version variable-sized chunks of data. For the Hugging Face community, this means:

⏩ Only upload the chunks that changed.
🚀 Download just the updates, not the whole file.
🧠 We store your file as deduplicated chunks

In our benchmarks, we found that using CDC to store iterative model and dataset version led to transfer speedups of ~2x, but this isn’t just a performance boost. It’s a rethinking of how we manage models and datasets on the Hub.

We're planning on our new storage backend to the Hub in early 2025 - check out our blog to dive deeper, and let us know: how could this improve your workflows?

https://huggingface.co/blog/from-files-to-chunks
upvoted an article about 1 month ago