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LLM Models · Multimodal

Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.

371 models Compare
MiMo-VL-7B-SFT-2508 logo
MiMo-VL-7B-SFT-2508
XiaomiMiMo

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ MiMo-VL Technical Report ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Multimodal 7.0B ↓ 894
InternVL2_5-26B-AWQ logo
InternVL2_5-26B-AWQ
OpenGVLab

[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 Mini-InternVL\]](https://arxiv.org/abs/2410.16261) [\[📜 InternVL 2.5\]](https://huggingface.co/…

Multimodal 26.0B ↓ 846
InternVL3_5-241B-A28B logo
InternVL3_5-241B-A28B
OpenGVLab

[\[📂 GitHub\]](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…

Multimodal 241.0B ↓ 844
ERNIE-4.5-VL-424B-A47B-Base-PT logo
ERNIE-4.5-VL-424B-A47B-Base-PT
baidu

[!NOTE] Note: " -Paddle " models use PaddlePaddle weights, while " -PT " models use Transformer-style PyTorch weights.

Multimodal 424.0B ↓ 840
AutoGLM-Phone-9B logo
AutoGLM-Phone-9B
zai-org

⚠️ This project is intended for research and educational purposes only . Any use for illegal data access, system interference, or unlawful activities is strictly prohibited. Please review our Terms of Use carefully.

Multimodal 9.0B ↓ 820
InternVL2-Llama3-76B logo
InternVL2-Llama3-76B
OpenGVLab

[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 Mini-InternVL\]](https://arxiv.org/abs/2410.16261) [\[📜 InternVL 2.5\]](https://huggingface.co/…

Multimodal 76.3B ↓ 798
InternVL3-38B-AWQ logo
InternVL3-38B-AWQ
OpenGVLab

[\[📂 GitHub\]](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…

Multimodal 38.0B ↓ 792
LLaDA-UI logo
LLaDA-UI
inclusionAI

Bringing Block-wise Diffusion to Vision-Language GUI Agents

Multimodal 16.7B ↓ 760
ERNIE-4.5-VL-28B-A3B-Thinking logo
ERNIE-4.5-VL-28B-A3B-Thinking
baidu

🚀 Introducing ERNIE-4.5-VL-28B-A3B-Thinking: A Breakthrough in Multimodal AI

Multimodal 28.0B ↓ 735
Mono-InternVL-2B logo
Mono-InternVL-2B
OpenGVLab

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.

Multimodal 2.0B ↓ 730
InternVL3_5-4B-Instruct logo
InternVL3_5-4B-Instruct
OpenGVLab

[\[📂 GitHub\]](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…

Multimodal 4.7B ↓ 716
Qwen-SEA-LION-v4-8B-VL logo
Qwen-SEA-LION-v4-8B-VL
aisingapore

SEA-LION is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for the Southeast Asia (SEA) region.

Multimodal 8.0B ↓ 715