Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling Paper • 2605.13301 • Published 5 days ago • 141
Ling 2.6 Collection Ling-2.6 series is designed for real-world agents that require fast responses, strong execution, and high token efficiency, with several sized SKUs. • 4 items • Updated 3 days ago • 13
Nemotron Math & Reasoning Collection Datasets for building models that excel at math reasoning, proofs, and quantitative problem-solving. Covers SFT, RL, and pretraining data. • 21 items • Updated 9 days ago • 6
Nemotron Supervised Fine-Tuning Collection SFT datasets covering math, code, chat, safety, agentic, VLM, multilingual, and specialized domains. • 38 items • Updated 9 days ago • 7
Teacher Logits Collection Logits captured from large models to act as the teacher for distillation • 3 items • Updated Dec 15, 2025 • 12
Granite 4.1 Language Models Collection Efficient language models for multilingual generation, coding, RAG, and AI assistant workflows. • 6 items • Updated 18 days ago • 50
Gemopus-4 Collection 🪐 A curated collection of lightweight multimodal Gemopus-4 models designed for edge deployment. • 6 items • Updated 11 days ago • 16
Mistral Small 4 Collection A state-of-the-art model, open-weight, with a granular Mixture-of-Experts architecture that fuses instruct, reasoning and agentic skills. • 3 items • Updated Mar 16 • 74