Best Cambrian-1 Alternatives in 2025
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Cambrian allows anyone to discover the latest research, search over 240,000 ML papers, understand confusing details, and automate literature reviews.
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Yi Visual Language (Yi-VL) model is the open-source, multimodal version of the Yi Large Language Model (LLM) series, enabling content comprehension, recognition, and multi-round conversations about images.
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With a total of 8B parameters, the model surpasses proprietary models such as GPT-4V-1106, Gemini Pro, Qwen-VL-Max and Claude 3 in overall performance.
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CM3leon: A versatile multimodal generative model for text and images. Enhance creativity and create realistic visuals for gaming, social media, and e-commerce.
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GLM-4.5V: Empower your AI with advanced vision. Generate web code from screenshots, automate GUIs, & analyze documents & video with deep reasoning.
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A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.
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Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
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CogVLM and CogAgent are powerful open-source visual language models that excel in image understanding and multi-turn dialogue.
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C4AI Aya Vision 8B: Open-source multilingual vision AI for image understanding. OCR, captioning, reasoning in 23 languages.
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BAGEL: Open-source multimodal AI from ByteDance-Seed. Understands, generates, edits images & text. Powerful, flexible, comparable to GPT-4o. Build advanced AI apps.
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DeepSeek-VL2, a vision - language model by DeepSeek-AI, processes high - res images, offers fast responses with MLA, and excels in diverse visual tasks like VQA and OCR. Ideal for researchers, developers, and BI analysts.
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Qwen2.5 series language models offer enhanced capabilities with larger datasets, more knowledge, better coding and math skills, and closer alignment to human preferences. Open-source and available via API.
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LongCat-Video: Unified AI for truly coherent, minute-long video generation. Create stable, seamless Text-to-Video, Image-to-Video & continuous content.
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Cambium AI: AI-powered public data insights. Ask questions in plain English, get visual market & strategic insights. No coding needed.
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Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation
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GLM-4-9B is the open-source version of the latest generation of pre-trained models in the GLM-4 series launched by Zhipu AI.
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Data scientists spend much time cleaning data for LLM training, but Uniflow, an open-source Python library, simplifies the process of extracting and structuring text from PDF docs.
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Join CAMEL-AI, the open-source community for autonomous agents. Explore agent chat, chatbot interaction, dataset analysis, game creation, and more!
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Meta's Llama 4: Open AI with MoE. Process text, images, video. Huge context window. Build smarter, faster!
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MMStar, a benchmark test set for evaluating large-scale multimodal capabilities of visual language models. Discover potential issues in your model's performance and evaluate its multimodal abilities across multiple tasks with MMStar. Try it now!
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OpenMMLab is an open-source platform that focuses on computer vision research. It offers a codebase
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Create custom AI models with ease using Ludwig. Scale, optimize, and experiment effortlessly with declarative configuration and expert-level control.
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Mini-Gemini supports a series of dense and MoE Large Language Models (LLMs) from 2B to 34B with image understanding, reasoning, and generation simultaneously. We build this repo based on LLaVA.
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Meet Falcon 2: TII Releases New AI Model Series, Outperforming Meta’s New Llama 3
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A high-throughput and memory-efficient inference and serving engine for LLMs
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PolyLM, a revolutionary polyglot LLM, supports 18 languages, excels in tasks, and is open-source. Ideal for devs, researchers, and businesses for multilingual needs.
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MiniCPM is an End-Side LLM developed by ModelBest Inc. and TsinghuaNLP, with only 2.4B parameters excluding embeddings (2.7B in total).
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Step-1V: A highly capable multimodal model developed by Jieyue Xingchen, showcasing exceptional performance in image understanding, multi-turn instruction following, mathematical ability, logical reasoning, and text creation.
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GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
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OpenBMB: Building a large-scale pre-trained language model center and tools to accelerate training, tuning, and inference of big models with over 10 billion parameters. Join our open-source community and bring big models to everyone.