Nemotron Post-Training Datasets Collection Collection of datasets used in the post-training phase of Nemotron Nano, Super, Ultra v3, Super 3.5 VL, and Lightning 3.5. • 64 items • Updated 22 days ago • 209
TradingAgents: Multi-Agents LLM Financial Trading Framework Paper • 2412.20138 • Published Dec 28, 2024 • 165
LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics Paper • 2604.17295 • Published Apr 19 • 78
Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation Paper • 2602.12125 • Published Feb 12 • 61
The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies Paper • 2602.09877 • Published Feb 10 • 91
Mamba: Linear-Time Sequence Modeling with Selective State Spaces Paper • 2312.00752 • Published Dec 1, 2023 • 153
Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning Paper • 2512.07461 • Published Dec 8, 2025 • 80
Qwen2.5 Collection Qwen2.5 language models, including pretrained and instruction-tuned models of 7 sizes, including 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B. • 43 items • Updated Mar 2 • 737
🎯 Liquid Nanos Collection Library of task-specific models: https://www.liquid.ai/blog/introducing-liquid-nanos-frontier-grade-performance-on-everyday-devices • 38 items • Updated 14 days ago • 140
💧 LFM2 Collection LFM2 is a new generation of hybrid models, designed for on-device deployment. • 28 items • Updated 14 days ago • 159