LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
VISTA-9B are GUI-grounding vision-language models trained from Qwen3.5 9B backbones with VISTA: View-Consistent Self-Verified Training for GUI Grounding .
🚀 LLaDA2.1-flash is now live on ZenmuxAI ! Try it via API 🛠️ or Chat 💬: https://zenmux.ai/inclusionai/llada2.1-flash
🤗 Hugging Face 🤖 ModelScope Tech Report 💻 GitHub
0. TL;DR 1. Model Details 2. Training Details 3. Usage 4. Evaluation 5. Citation
SEA-LION is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for the Southeast Asia (SEA) region.
CogVLM 是一个强大的开源视觉语言模型（VLM）。CogVLM-17B 拥有 100 亿视觉参数和 70 亿语言参数，在 10 个经典跨模态基准测试上取得了 SOTA 性能，包括 NoCaps、Flicker30k captioning、RefCOCO、RefCOCO+、RefCOCOg、Visual7W、GQA、ScienceQA、VizWiz VQA 和 TDIUC，而在 VQAv2、OKVQA、TextVQA、COCO captioning 等方面则排名第二，超越或与 PaLI-X 55B 持平。您可以通过线上 demo 体验 CogVLM 多…
介绍 Baichuan-13B-Base为Baichuan-13B系列模型中的预训练版本，经过对齐后的模型可见Baichuan-13B-Chat。
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5-MPO\]](https://huggi…
👋 Hi, everyone! We are ByteDance Seed Team.
This repository contains the instruction-tuned Mono-InternVL-2B model, which has 1.8B activated parameters (3B in total). It is built upon internlm2-chat-1 8b.
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…
MiniCPM is an End-Size LLM developed by ModelBest Inc. and TsinghuaNLP, with only 2.4B parameters excluding embeddings. MiniCPM-2B-128k is a long context extension trial of MiniCPM-2B. To our best knowledge, MiniCPM-2B-128k is the first long context( =128k) SLM smaller than 3B。 I…