LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
Building the Next Generation of Open-Source and Bilingual LLMs
OLMo 2 32B Instruct March 2025 is post-trained variant of the OLMo-2 32B March 2025 model, which has undergone supervised finetuning on an OLMo-specific variant of the Tülu 3 dataset, further DPO training on this dataset, and final RLVR training on this dataset. Tülu 3 is designe…
🐙 GitHub • 👾 Discord • 🐤 Twitter • 💬 WeChat 📝 Paper • 💪 Tech Blog • 🙌 FAQ • 📗 Learning Hub
Building the Next Generation of Open-Source and Bilingual LLMs
🐙 GitHub • 👾 Discord • 🐤 Twitter • 💬 WeChat 📝 Paper • 💪 Tech Blog • 🙌 FAQ • 📗 Learning Hub
Building the Next Generation of Open-Source and Bilingual LLMs
🐙 GitHub • 👾 Discord • 🐤 Twitter • 💬 WeChat 📝 Paper • 💪 Tech Blog • 🙌 FAQ • 📗 Learning Hub
Building the Next Generation of Open-Source and Bilingual LLMs
BLOOM LM BigScience Large Open-science Open-access Multilingual Language Model Model Card
🐙 GitHub • 👾 Discord • 🐤 Twitter • 💬 WeChat 📝 Paper • 💪 Tech Blog • 🙌 FAQ • 📗 Learning Hub
🐙 GitHub • 👾 Discord • 🐤 Twitter • 💬 WeChat 📝 Paper • 💪 Tech Blog • 🙌 FAQ • 📗 Learning Hub
We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With R…