Collections
Discover the best community collections!
Collections trending this week
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EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes
Paper • 2507.11407 • Published • 62 -
LGAI-EXAONE/EXAONE-4.0-1.2B
Text Generation • 1B • Updated • 16.9k • 188 -
LGAI-EXAONE/EXAONE-4.0-32B
Text Generation • 32B • Updated • 27.5k • 282 -
LGAI-EXAONE/EXAONE-4.0-1.2B-FP8
Text Generation • 1B • Updated • 172 • 12
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Qwen3 Coder WebDev
🌍1.12kGenerate HTML or React code from your web app description
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Qwen/Qwen3-Coder-480B-A35B-Instruct
Text Generation • 480B • Updated • 91.7k • • 1.36k -
Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8
Text Generation • 480B • Updated • 327k • 159 -
Qwen/Qwen3-Coder-30B-A3B-Instruct
Text Generation • 31B • Updated • 1.47M • • 1.19k
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AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score
Paper • 2412.15832 • Published -
ecmwf/aifs-ens-2.0
Graph Machine Learning • Updated • 1.69k • 5 -
A multi-scale loss formulation for learning a probabilistic model with proper score optimisation
Paper • 2506.10868 • Published -
ecmwf/aifs-ens-1.0
Graph Machine Learning • Updated • 345 • 12
-
Qwen3 Coder WebDev
🌍1.12kGenerate HTML or React code from your web app description
-
Qwen/Qwen3-Coder-480B-A35B-Instruct
Text Generation • 480B • Updated • 91.7k • • 1.36k -
Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8
Text Generation • 480B • Updated • 327k • 159 -
Qwen/Qwen3-Coder-30B-A3B-Instruct
Text Generation • 31B • Updated • 1.47M • • 1.19k
-
EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes
Paper • 2507.11407 • Published • 62 -
LGAI-EXAONE/EXAONE-4.0-1.2B
Text Generation • 1B • Updated • 16.9k • 188 -
LGAI-EXAONE/EXAONE-4.0-32B
Text Generation • 32B • Updated • 27.5k • 282 -
LGAI-EXAONE/EXAONE-4.0-1.2B-FP8
Text Generation • 1B • Updated • 172 • 12
-
AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score
Paper • 2412.15832 • Published -
ecmwf/aifs-ens-2.0
Graph Machine Learning • Updated • 1.69k • 5 -
A multi-scale loss formulation for learning a probabilistic model with proper score optimisation
Paper • 2506.10868 • Published -
ecmwf/aifs-ens-1.0
Graph Machine Learning • Updated • 345 • 12