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GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 213 -
zai-org/GLM-4.5
Text Generation • 358B • Updated • 130k • • 1.41k -
zai-org/GLM-4.5-FP8
Text Generation • 358B • Updated • 798 • 78 -
GLM 4.5 Demo (API)
🏃109Chat with the GLM‑4.5 AI model and get streamed responses
Collections
Discover the best community collections!
Collections including paper arxiv:2508.06471
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Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 20 -
Evaluating Large Language Models Trained on Code
Paper • 2107.03374 • Published • 11 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 25 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 7
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Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 518 -
zai-org/GLM-4.6
Text Generation • 357B • Updated • 17.4k • • 1.23k -
deepseek-ai/DeepSeek-R1
Text Generation • 685B • Updated • 8.93M • • 13.5k -
deepseek-ai/DeepSeek-V3.2-Exp
Text Generation • 685B • Updated • 294k • • 992
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Attention Is All You Need
Paper • 1706.03762 • Published • 133 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 10 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 12 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
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Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment
Paper • 2505.10597 • Published -
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
Paper • 2504.05535 • Published • 44 -
nvidia/HelpSteer3
Viewer • Updated • 133k • 5.34k • 115 -
nvidia/Nemotron-RL-instruction_following
Preview • Updated • 280 • 16
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GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 213 -
zai-org/GLM-4.5
Text Generation • 358B • Updated • 130k • • 1.41k -
zai-org/GLM-4.5-FP8
Text Generation • 358B • Updated • 798 • 78 -
GLM 4.5 Demo (API)
🏃109Chat with the GLM‑4.5 AI model and get streamed responses
-
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 20 -
Evaluating Large Language Models Trained on Code
Paper • 2107.03374 • Published • 11 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 25 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 7
-
Attention Is All You Need
Paper • 1706.03762 • Published • 133 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 10 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 12 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
-
Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment
Paper • 2505.10597 • Published -
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
Paper • 2504.05535 • Published • 44 -
nvidia/HelpSteer3
Viewer • Updated • 133k • 5.34k • 115 -
nvidia/Nemotron-RL-instruction_following
Preview • Updated • 280 • 16
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 518 -
zai-org/GLM-4.6
Text Generation • 357B • Updated • 17.4k • • 1.23k -
deepseek-ai/DeepSeek-R1
Text Generation • 685B • Updated • 8.93M • • 13.5k -
deepseek-ai/DeepSeek-V3.2-Exp
Text Generation • 685B • Updated • 294k • • 992