Running
5
sisr2onnx
🐨
Convert Super Resolution models from PTH to ONNX
Running
82
Unlocking On-Policy Distillation for Any Model Family
📝
Improve model performance by transferring knowledge between different model families
Runtime error
46
TurkBench
🥇
Turkish Benchmark Leaderboard of LLM Models
Running
on
CPU Upgrade
584
GAIA Leaderboard
🦾
Submit and evaluate models on GAIA leaderboard
Running
37
Base Model Explorer
🧭
Explore base models and their descendants on Hugging Face Hub
Running
on
CPU Upgrade
240
Open Portuguese LLM Leaderboard
🏆
Track, rank and evaluate open LLMs in Portuguese
Running
36
CivitAI to HF🤗 Downloader & Uploader with Search
🤗
Download and upload models from CivitAI to Hugging Face
Running
20
languagebench
🌍
AI model evaluations for every language in the world.
Running
1
Parameter Count
🏃
Simply counts the number of parameters of the loaded model
Running
3
MTEB Leaderboard
🥇
Embedding Leaderboard
Running
8
Arena Hard Viewer
⚡
Browse and view model judgments in benchmarks
Running
20
Leaderboard
🐠
View and compare telecom LLM benchmarks
Configuration error
4.71k
LMArena Leaderboard
🏆
Compare and rank AI model performance
Running
11
Push Model From Web
🌎
Push a ML model to Hugging Face Hub
Sleeping
120
Modelcard Creator
⚡
Create a model card for Hugging Face Hub
Running
on
CPU Upgrade
78
Export to ONNX
🏎
Export models to ONNX using Hugging Face
Running
37
OpenVINO Export
🚀
Export models to OpenVINO format
Sleeping
8
Zenml Server
🧘
Create reproducible ML pipelines with ZenML
Running
3
Converter
♻
Convert and upload model files for Stable Diffusion
Running
5
PaddleOCRModelConverter
🐠
Convert PaddleOCR models to ONNX format
Runtime error
56
Open Multilingual Llm Leaderboard
🐨
Search for model performance across languages and benchmarks
Running
176
Open Object Detection Leaderboard
🏆
Request evaluation for a new model
Sleeping
4
🤗 Persian LLM Leaderboard
📊
Evaluate Persian LLMs on various tasks
Sleeping
2
Building And Deploying A Machine Learning Models Using Gradio Application
📈
Predict customer churn based on input details