steiner-preview Collection Reasoning models trained on synthetic data using reinforcement learning. • 3 items • Updated 21 days ago • 23
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. • 45 items • Updated Sep 18 • 307
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data Paper • 2409.03810 • Published Sep 5 • 30
To Code, or Not To Code? Exploring Impact of Code in Pre-training Paper • 2408.10914 • Published Aug 20 • 40
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs Paper • 2408.07055 • Published Aug 13 • 65
Minitron Collection A family of compressed models obtained via pruning and knowledge distillation • 9 items • Updated Oct 3 • 59
AgentInstruct: Toward Generative Teaching with Agentic Flows Paper • 2407.03502 • Published Jul 3 • 44
Scaling Synthetic Data Creation with 1,000,000,000 Personas Paper • 2406.20094 • Published Jun 28 • 94
view article Article BM25 for Python: Achieving high performance while simplifying dependencies with *BM25S*⚡ By xhluca • Jul 9 • 36
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models Paper • 2406.13542 • Published Jun 19 • 16
view article Article BigCodeBench: Benchmarking Large Language Models on Solving Practical and Challenging Programming Tasks Jun 18 • 39