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Collections including paper arxiv:2507.20984

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8 • 186
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 236
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7 • 63
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56
tencent/Hunyuan-0.5B-Instruct

Text Generation • 0.5B • Updated Aug 6 • 322 • 52
IndexTeam/Index-1.9B-Chat-GGUF

2B • Updated Jun 26, 2024 • 153 • 27
YannQi/R-4B

Image-Text-to-Text • 5B • Updated Sep 4 • 51.7k • 169

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56
Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 68
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 208

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts

Paper • 2508.07785 • Published Aug 11 • 28
MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs

Paper • 2508.05257 • Published Aug 7 • 13
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56
MiniCPM4: Ultra-Efficient LLMs on End Devices

Paper • 2506.07900 • Published Jun 9 • 92

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

Local deployment models

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

π^3: Scalable Permutation-Equivariant Visual Geometry Learning

Paper • 2507.13347 • Published Jul 17 • 64
Voxtral

Paper • 2507.13264 • Published Jul 17 • 29
SingLoRA: Low Rank Adaptation Using a Single Matrix

Paper • 2507.05566 • Published Jul 8 • 112
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs

Paper • 2507.09477 • Published Jul 13 • 84

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8 • 186
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 236
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7 • 63
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts

Paper • 2508.07785 • Published Aug 11 • 28
MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs

Paper • 2508.05257 • Published Aug 7 • 13
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56
MiniCPM4: Ultra-Efficient LLMs on End Devices

Paper • 2506.07900 • Published Jun 9 • 92

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56
tencent/Hunyuan-0.5B-Instruct

Text Generation • 0.5B • Updated Aug 6 • 322 • 52
IndexTeam/Index-1.9B-Chat-GGUF

2B • Updated Jun 26, 2024 • 153 • 27
YannQi/R-4B

Image-Text-to-Text • 5B • Updated Sep 4 • 51.7k • 169

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56
Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 68
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 208

Local deployment models

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

π^3: Scalable Permutation-Equivariant Visual Geometry Learning

Paper • 2507.13347 • Published Jul 17 • 64
Voxtral

Paper • 2507.13264 • Published Jul 17 • 29
SingLoRA: Low Rank Adaptation Using a Single Matrix

Paper • 2507.05566 • Published Jul 8 • 112
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs

Paper • 2507.09477 • Published Jul 13 • 84

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