nvidia/llama-nemoretriever-colembed-3b-v1

The embedding model trained by Jina AI. Jina Embeddings v4: Universal Embeddings for Multimodal Multilingual Retrieval GGUF(https://github.com/jina-ai/jina-embeddings-v4-gguf) | Blog(https://jina.ai/news/jina-embeddings-v4-universal-embeddings-for-m...

Nemotron ColEmbed V2 🤗 8B | &nbsp&nbsp 🤗 4B | &nbsp&nbsp 🤗 3B &nbsp Model Overview Description The nvidia/nemotron-colembed-vl-4b-v2 is a state-of-the-art late interaction embedding model that ranks No. 3 in the ViDoRe V3: a comprehensive evaluat...

The embedding model trained by Jina AI. Jina Embeddings v4: Universal Embeddings for Multimodal Multilingual Retrieval Original Model(https://huggingface.co/jinaai/jina-embeddings-v4) | Blog(https://jina.ai/news/jina-embeddings-v4-universal-embeddin...

TomoroAI/tomoro-colqwen3-embed-4b ⚡ Executive Summary TomoroAI/tomoro-colqwen3-embed-4b is a state-of-the-art ColPali(https://arxiv.org/abs/2407.01449)-style multimodal embedding model. It maps text queries, visual documents (images, PDFs) or short...

ColNomic Embed Multimodal 7B: State-of-the-Art Visual Document Retrieval colnomic-embed-multimodal-7b is a multi-vector state-of-the-art multimodal embedding model that excels at visual document retrieval tasks: - High Performance: Achieves 62.7 NDC...

ColNomic Embed Multimodal 3B: State-of-the-Art Visual Document Retrieval colnomic-embed-multimodal-3b is a multi-vector state-of-the-art multimodal embedding model that excels at visual document retrieval tasks: - High Performance: Achieves 61.2 NDC...

📰  Tech Blog |     📄  Full Report 1. Model Introduction Kimi K3 is an open-weight, native multimodal agentic model and our most capable model to date. It is a 2.8T-parameter model built on Kimi Delta Attention (K...

ColPali: Visual Retriever based on PaliGemma-3B with ColBERT strategy ColPali is a model based on a novel model architecture and training strategy based on Vision Language Models (VLMs) to efficiently index documents from their visual features. It i...

ColQwen2.5: Visual Retriever based on Qwen2.5-VL-3B-Instruct with ColBERT strategy ColQwen is a model based on a novel model architecture and training strategy based on Vision Language Models (VLMs) to efficiently index documents from their visual f...