LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
🤗 HuggingFace 🤖 ModelScope 🪡 AngelSlim
🦉GitHub 💬WeChat 百川API支持搜索增强和192K长窗口，新增百川搜索增强知识库、限时免费！ 🚀 百川大模型在线对话平台 已正式向公众开放 🎉
⚠️ DEPRECATION WARNING ⚠️ ⚠️ NOT RECOMMENDED FOR USE IN NEW PROJECTS ⚠️
This model is part of the GLM-V family of models, introduced in the paper GLM-4.1V-Thinking and GLM-4.5V: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.
StableLM-3B-4E1T is a 3 billion parameter decoder-only language model pre-trained on 1 trillion tokens of diverse English and code datasets for 4 epochs.
Falcon-7B-Instruct is a 7B parameters causal decoder-only model built by TII based on Falcon-7B and finetuned on a mixture of chat/instruct datasets. It is made available under the Apache 2.0 license.
Upon the initial release of OLMo-2 models, we realized the post-trained models did not share the pre-tokenization logic that the base models use. As a result, we have trained new post-trained models. The new models are available under the same names as the original models, but we…
Building the Next Generation of Open-Source and Bilingual LLMs
💻Github Repo • 🤔Reporting Issues • 📜Technical Report
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Unlocking the Reasoning Potential of Language Model From Pretraining to Posttraining ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Building the Next Generation of Open-Source and Bilingual LLMs