Collections
Discover the best community collections!
Collections trending this week
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nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4
Text Generation • 67B • Updated • 1.62M • 266 -
nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4
Text Generation • 18B • Updated • 624k • 138 -
nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8
Text Generation • 124B • Updated • 1.02M • 229 -
nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-FP8
Text Generation • 32B • Updated • 866k • • 334
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regolo/brick-complexity-extractor
Text Classification • Updated • 192 • 5 -
regolo/brick-complexity-extractor-BF16-GGUF
Text Classification • 0.8B • Updated • 131 -
regolo/brick-complexity-extractor-Q8_0-GGUF
Text Classification • 0.8B • Updated • 3 -
regolo/brick-complexity-extractor-Q4_K_M-GGUF
Text Classification • 0.8B • Updated • 34
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google/timesfm-1.0-200m
Time Series Forecasting • Updated • 1.3k • 806 -
google/timesfm-1.0-200m-pytorch
Time Series Forecasting • Updated • 9.95k • 31 -
google/timesfm-2.0-500m-jax
Time Series Forecasting • Updated • 34 • 20 -
google/timesfm-2.0-500m-pytorch
Time Series Forecasting • 0.5B • Updated • 33k • 251
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meta-llama/Llama-3.1-8B
Text Generation • 8B • Updated • 1.43M • • 2.15k -
meta-llama/Llama-3.1-8B-Instruct
Text Generation • 8B • Updated • 9.36M • • 5.69k -
meta-llama/Llama-3.1-70B
Text Generation • 71B • Updated • 113k • 411 -
meta-llama/Llama-3.1-70B-Instruct
Text Generation • 71B • Updated • 916k • • 907
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 153 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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google/timesfm-1.0-200m
Time Series Forecasting • Updated • 1.3k • 806 -
google/timesfm-1.0-200m-pytorch
Time Series Forecasting • Updated • 9.95k • 31 -
google/timesfm-2.0-500m-jax
Time Series Forecasting • Updated • 34 • 20 -
google/timesfm-2.0-500m-pytorch
Time Series Forecasting • 0.5B • Updated • 33k • 251
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nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4
Text Generation • 67B • Updated • 1.62M • 266 -
nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4
Text Generation • 18B • Updated • 624k • 138 -
nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8
Text Generation • 124B • Updated • 1.02M • 229 -
nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-FP8
Text Generation • 32B • Updated • 866k • • 334
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meta-llama/Llama-3.1-8B
Text Generation • 8B • Updated • 1.43M • • 2.15k -
meta-llama/Llama-3.1-8B-Instruct
Text Generation • 8B • Updated • 9.36M • • 5.69k -
meta-llama/Llama-3.1-70B
Text Generation • 71B • Updated • 113k • 411 -
meta-llama/Llama-3.1-70B-Instruct
Text Generation • 71B • Updated • 916k • • 907
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 153 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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regolo/brick-complexity-extractor
Text Classification • Updated • 192 • 5 -
regolo/brick-complexity-extractor-BF16-GGUF
Text Classification • 0.8B • Updated • 131 -
regolo/brick-complexity-extractor-Q8_0-GGUF
Text Classification • 0.8B • Updated • 3 -
regolo/brick-complexity-extractor-Q4_K_M-GGUF
Text Classification • 0.8B • Updated • 34