INTELLECT-2 Collection INTELLECT-2 is a 32 billion parameter language model with globally distributed reinforcement learning. • 3 items • Updated 2 days ago • 16
Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers Paper • 2505.04842 • Published 6 days ago • 12
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float Paper • 2504.11651 • Published 28 days ago • 28
SmolVLM: Redefining small and efficient multimodal models Paper • 2504.05299 • Published Apr 7 • 181
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't Paper • 2503.16219 • Published Mar 20 • 48