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Qwen/Qwen3-235B-A22B-Thinking-2507-FP8
Text Generation • 235B • Updated • 42.6k • 98 -
Qwen/Qwen3-235B-A22B-Thinking-2507
Text Generation • 235B • Updated • 12.1k • • 419 -
Qwen/Qwen3-235B-A22B-Instruct-2507-FP8
Text Generation • 235B • Updated • 157k • 162 -
Qwen/Qwen3-235B-A22B-Instruct-2507
Text Generation • 235B • Updated • 127k • • 814
Collections
Discover the best community collections!
Collections including paper arxiv:2505.09388
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 48
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Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 21 -
Evaluating Large Language Models Trained on Code
Paper • 2107.03374 • Published • 12 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 26 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 7
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Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
Paper • 2512.24617 • Published • 67 -
Recursive Language Models
Paper • 2512.24601 • Published • 100 -
Nested Learning: The Illusion of Deep Learning Architectures
Paper • 2512.24695 • Published • 48 -
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Paper • 2512.02556 • Published • 275
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VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
Paper • 2602.10693 • Published • 39 -
Reinforced Attention Learning
Paper • 2602.04884 • Published • 30 -
Learning to Reason in 13 Parameters
Paper • 2602.04118 • Published • 6 -
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
Paper • 2405.17604 • Published • 4
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Attention Is All You Need
Paper • 1706.03762 • Published • 148 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 12 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 13 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
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Qwen/Qwen3-235B-A22B-Thinking-2507-FP8
Text Generation • 235B • Updated • 42.6k • 98 -
Qwen/Qwen3-235B-A22B-Thinking-2507
Text Generation • 235B • Updated • 12.1k • • 419 -
Qwen/Qwen3-235B-A22B-Instruct-2507-FP8
Text Generation • 235B • Updated • 157k • 162 -
Qwen/Qwen3-235B-A22B-Instruct-2507
Text Generation • 235B • Updated • 127k • • 814
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 48
-
VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
Paper • 2602.10693 • Published • 39 -
Reinforced Attention Learning
Paper • 2602.04884 • Published • 30 -
Learning to Reason in 13 Parameters
Paper • 2602.04118 • Published • 6 -
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
Paper • 2405.17604 • Published • 4
-
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 21 -
Evaluating Large Language Models Trained on Code
Paper • 2107.03374 • Published • 12 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 26 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 7
-
Attention Is All You Need
Paper • 1706.03762 • Published • 148 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 12 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 13 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
-
Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
Paper • 2512.24617 • Published • 67 -
Recursive Language Models
Paper • 2512.24601 • Published • 100 -
Nested Learning: The Illusion of Deep Learning Architectures
Paper • 2512.24695 • Published • 48 -
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Paper • 2512.02556 • Published • 275