LLM Models · Multimodal
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Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.
--- license name: qwen-research license link: https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE language: - en pipeline tag: image-text-to-text tags: - multimodal library name: transformers ---
🌟 Github 📥 Model Download 📄 Paper Link 📄 Arxiv Paper Link DeepSeek-OCR: Contexts Optical Compression Explore the boundaries of visual-text compression.
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Latest Updates: In addition to the original formula, we have further enhanced Qwen2.5-VL-32B's mathematical and problem-solving abilities through reinforcement learning. This has also significantly improved the model's subjective user experience, with response styles adjusted to…
This repository contains an FP8 quantized version of the Qwen3-VL-8B-Instruct model. The quantization method is fine-grained fp8 quantization with block size of 128, and its performance metrics are nearly identical to those of the original BF16 model. Enjoy!
In the past five months since Qwen2-VL’s release, numerous developers have built new models on the Qwen2-VL vision-language models, providing us with valuable feedback. During this period, we focused on building more useful vision-language models. Today, we are excited to introdu…
We're excited to unveil Qwen2-VL , the latest iteration of our Qwen-VL model, representing nearly a year of innovation.
Description: The NVIDIA Qwen2.5-VL-7B-Instruct-FP4 model is the quantized version of Alibaba's Qwen2.5-VL-7B-Instruct model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA Qwen2.5-VL-…
Welcome the Era of One-shot Long-horizon Parsing.
We're excited to unveil Qwen2-VL , the latest iteration of our Qwen-VL model, representing nearly a year of innovation.
SmolVLM2-500M-Video is a lightweight multimodal model designed to analyze video content. The model processes videos, images, and text inputs to generate text outputs - whether answering questions about media files, comparing visual content, or transcribing text from images. Despi…