LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
💻Github Repo • 🤔Reporting Issues • 📜Technical Report
1. Model Summary 2. Evaluation 3. Intended Use 4. Limitations 5. Security and Responsible Use 6. License 7. Citation
📢 DISCLAIMER : The StableLM-Base-Alpha models have been superseded. Find the latest versions in the Stable LM Collection here.
InternLM has open-sourced a 7 billion parameter base model tailored for practical scenarios. The model has the following characteristics: - It leverages trillions of high-quality tokens for training to establish a powerful knowledge base. - It provides a versatile toolset for use…
InternVL3-38B Transformers 🤗 Implementation
sarvam-m is a multilingual, hybrid-reasoning, text-only language model built on Mistral-Small. This post-trained version delivers exceptional improvements over the base model:
We identified and fixed an issue related to a wrong permutation of some projections, which affects generation quality. To use the new model revision, please load as follows:
🤗 Hugging Face      🤖 ModelScope
LFM2-VL-3B is the newest and most capable model in Liquid AI's multimodal LFM2-VL series, designed to process text and images with variable resolutions. Built on the LFM2 backbone, it extends the architecture for higher-capacity reasoning and stronger visual understanding while r…
If you are using the weights from this repository, please update to
Llama 3.3 Swallow is a large language model (70B) that was built by continual pre-training on the Meta Llama 3.3 model. Llama 3.3 Swallow enhanced the Japanese language capabilities of the original Llama 3.3 while retaining the English language capabilities. We use approximately…
🤗 Hugging Face 🖥️ Official Website 🕖 HunyuanAPI 🕹️ Demo 🤖 ModelScope