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eaddario

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reacted to openfree's post with 🔥 1 day ago
Huggingface Space Leaderboard 🚀 Hello Huggingface Community! https://huggingface.co/spaces/VIDraft/Space-Leaderboard We are excited to introduce the Huggingface Space Leaderboard, a service that lets you view the latest trending Spaces on the Huggingface platform at a glance. This service helps you quickly explore a wide range of creative projects and will spark new inspiration for your own ideas. 🎉 Detailed Feature Overview 1. Real-time Trend Reflection Automated Aggregation: Analyzes and ranks over 500 popular Spaces on Huggingface in real time. Accurate Ranking: Combines various metrics such as likes, engagement, and creation time to accurately reflect the latest trends. Instant Updates: Data is continuously updated, so you always see the most current popular Spaces. 2. Intuitive Preview 70% Scaled Preview: Each Space is displayed at 70% scale, providing a neat and clear preview at a glance. Easy Visual Comparison: View multiple Spaces side by side to easily compare their designs and functionalities. Error Handling: In case of loading issues, a clear error message with a direct link is provided to help resolve any problems. 3. Creator Statistics Top 30 Creators Analysis: A chart visualizes the number of Spaces created by the most active creators, giving you a clear view of the community’s top contributors. 📊 Data-driven Insights: Analyze the activity trends of each creator to gain fresh insights and inspiration. Collaboration Opportunities: Use the statistics to easily identify potential collaborators within the community. Why Choose the Huggingface Space Leaderboard? 🚀 Fast and Reliable: Real-time data updates deliver the latest trends instantly, ensuring you gain insights without any delays. 🔎 Easy Search Functionality: Easily find the Space you’re looking for with filters by name, owner, or tags. 💡 Intuitive Design: A clean, user-friendly interface makes it simple for anyone to navigate and explore.
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Experimental eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF is now available.

Got close to achieve a 10% reduction in size but the quality started to deteriorate so this version has been pruned more conservatively. Sizes, on average, are about 8% smaller with only a very small penalty (< 1%) in quality.

After trying with different models and parameter count, I suspect the best I'll be able to do with the current process is between 6 and 8% reduction so have decided to try a different approach. I'll publish process and findings next.

For background: https://huggingface.co/posts/eaddario/832567461491467
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Squeezing out tensor bits, part III and final (for now 😉)

(For context please see: https://huggingface.co/posts/eaddario/832567461491467)

I have just finished uploading eaddario/Hammer2.1-7b-GGUF and eaddario/Dolphin3.0-Mistral-24B-GGUF.

While I was able to get 7+% reduction with Hammer2.1-7b, the larger Dolphin3.0-Mistral-24B proved to be a more difficult nut to crack (only 3%).

I have an idea as to why this was the case, which I'll test with QwQ-32B, but it will be a while before I can find the time.