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eaddario

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reacted to openfree's post with 🔥 2 days 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.

posted an update 2 days ago

Experimental https://huggingface.co/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

updated a model 2 days ago

eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF

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reacted to openfree's post with 🔥 2 days ago

Post

4100

Huggingface Space Leaderboard 🚀
Hello Huggingface Community!

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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posted an update 2 days ago

Post

292

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

updated a model 2 days ago

eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF

Text Generation • Updated 2 days ago • 1.58k • 1

reacted to tomaarsen's post with ❤️ 4 days ago

Post

6228

An assembly of 18 European companies, labs, and universities have banded together to launch 🇪🇺 EuroBERT! It's a state-of-the-art multilingual encoder for 15 European languages, designed to be finetuned for retrieval, classification, etc.

🇪🇺 15 Languages: English, French, German, Spanish, Chinese, Italian, Russian, Polish, Portuguese, Japanese, Vietnamese, Dutch, Arabic, Turkish, Hindi
3️⃣ 3 model sizes: 210M, 610M, and 2.1B parameters - very very useful sizes in my opinion
➡️ Sequence length of 8192 tokens! Nice to see these higher sequence lengths for encoders becoming more common.
⚙️ Architecture based on Llama, but with bi-directional (non-causal) attention to turn it into an encoder. Flash Attention 2 is supported.
🔥 A new Pareto frontier (stronger *and* smaller) for multilingual encoder models
📊 Evaluated against mDeBERTa, mGTE, XLM-RoBERTa for Retrieval, Classification, and Regression (after finetuning for each task separately): EuroBERT punches way above its weight.
📝 Detailed paper with all details, incl. data: FineWeb for English and CulturaX for multilingual data, The Stack v2 and Proof-Pile-2 for code.

Check out the release blogpost here: https://huggingface.co/blog/EuroBERT/release
* EuroBERT/EuroBERT-210m
* EuroBERT/EuroBERT-610m
* EuroBERT/EuroBERT-2.1B

The next step is for researchers to build upon the 3 EuroBERT base models and publish strong retrieval, zero-shot classification, etc. models for all to use. I'm very much looking forward to it!

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reacted to clem's post with ❤️ 5 days ago

Post

4643

10,000+ models based on Deepseek R1 have been publicly shared on Hugging Face! Which ones are your favorite ones: https://huggingface.co/models?sort=trending&search=r1. Truly game-changer!

updated a model 6 days ago

eaddario/Llama-Guard-3-8B-GGUF

Text Generation • Updated 6 days ago • 2.7k

reacted to albertvillanova's post with 🔥 8 days ago

Post

3775

🚀 Big news for AI agents! With the latest release of smolagents, you can now securely execute Python code in sandboxed Docker or E2B environments. 🦾🔒

Here's why this is a game-changer for agent-based systems: 🧵👇

1️⃣ Security First 🔐
Running AI agents in unrestricted Python environments is risky! With sandboxing, your agents are isolated, preventing unintended file access, network abuse, or system modifications.

2️⃣ Deterministic & Reproducible Runs 📦
By running agents in containerized environments, you ensure that every execution happens in a controlled and predictable setting—no more environment mismatches or dependency issues!

3️⃣ Resource Control & Limits 🚦
Docker and E2B allow you to enforce CPU, memory, and execution time limits, so rogue or inefficient agents don’t spiral out of control.

4️⃣ Safer Code Execution in Production 🏭
Deploy AI agents confidently, knowing that any generated code runs in an ephemeral, isolated environment, protecting your host machine and infrastructure.

5️⃣ Easy to Integrate 🛠️
With smolagents, you can simply configure your agent to use Docker or E2B as its execution backend—no need for complex security setups!

6️⃣ Perfect for Autonomous AI Agents 🤖
If your AI agents generate and execute code dynamically, this is a must-have to avoid security pitfalls while enabling advanced automation.

⚡ Get started now: https://github.com/huggingface/smolagents

What will you build with smolagents? Let us know! 🚀💡

reacted to clem's post with 🔥 8 days ago

Post

5872

Super happy to welcome Nvidia as our latest enterprise hub customer. They have almost 2,000 team members using Hugging Face, and close to 20,000 followers of their org. Can't wait to see what they'll open-source for all of us in the coming months!

Nvidia's org: https://huggingface.co/nvidia
Enterprise hub: https://huggingface.co/enterprise

posted an update 8 days ago

Post

736

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.

replied to their post 8 days ago

Thank you @UICO , but at the moment rather than a technique, it's more of a mix of brutish-force, educated guesses, trial and error and the occasional luck, but will tackle QwQ 32B next as it will help me validate an idea (see my next post)

New activity in eaddario/Watt-Tool-8B-GGUF 8 days ago

Problem with the license, this is not really free software

#1 opened 10 days ago by

JLouisBiz

replied to their post 8 days ago

The process is a bit all over the place at the moment. Some steps are automated, others are manual, and a few are trial and error. But as I streamline it, I will publish my findings in a How To guide, along with the tools I'm using.

updated 6 models 8 days ago