Best Gemma 3n Alternatives in 2025
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Gemma 3 270M: Compact, hyper-efficient AI for specialized tasks. Fine-tune for precise instruction following & low-cost, on-device deployment.
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Gemma 3: Google's open-source AI for powerful, multimodal apps. Build multilingual solutions easily with flexible, safe models.
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Gemma 2 offers best-in-class performance, runs at incredible speed across different hardware and easily integrates with other AI tools, with significant safety advancements built in.
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Gemma is a family of lightweight, open models built from the research and technology that Google used to create the Gemini models.
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EmbeddingGemma: On-device, multilingual text embeddings for privacy-first AI apps. Get best-in-class performance & efficiency, even offline.
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ggml is a tensor library for machine learning to enable large models and high performance on commodity hardware.
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lightweight, standalone C++ inference engine for Google's Gemma models.
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Discover Gemini, Google's advanced AI model designed to revolutionize AI interactions. With multimodal capabilities, sophisticated reasoning, and advanced coding abilities, Gemini empowers researchers, educators, and developers to uncover knowledge, simplify complex subjects, and generate high-quality code. Explore the potential and possibilities of Gemini as it transforms industries worldwide.
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CodeGemma is a lightweight open-source code model series by Google, designed for code generation and comprehension. With various pre-trained variants, it enhances programming efficiency and code quality.
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Nexa AI simplifies deploying high-performance, private generative AI on any device. Build faster with unmatched speed, efficiency & on-device privacy.
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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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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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The LlamaEdge project makes it easy for you to run LLM inference apps and create OpenAI-compatible API services for the Llama2 series of LLMs locally.
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DeepGemini: Multi-model AI orchestration. Integrate DeepSeek, Claude, OpenAI & more. Flexible workflows, OpenAI API compatible. Open-source!
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Build & deploy enterprise AI faster with Vertex AI. Your unified platform for generative AI, ML & MLOps, powered by Gemini models.
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Test cutting-edge Generative AI models running fully offline on your phone. Explore local AI, analyze images, chat & get performance insights with Google AI Edge Gallery.
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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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Build high-performance AI apps on-device without the hassle of model compression or edge deployment.
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NetMind: Your unified AI platform. Build, deploy & scale with diverse models, powerful GPUs & cost-efficient tools.
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Discover EXAONE 3.5 by LG AI Research. A suite of bilingual (English & Korean) instruction - tuned generative models from 2.4B to 32B parameters. Support long - context up to 32K tokens, with top - notch performance in real - world scenarios.
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MonsterGPT: Fine-tune & deploy custom AI models via chat. Simplify complex LLM & AI tasks. Access 60+ open-source models easily.
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Gemini Robotics: Discover adaptable AI robots powered by Gemini. Intelligent & versatile for homes, factories, and beyond. The future is here!
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Genkit is an open-source framework for building full-stack AI-powered applications, built and used in production by Google's Firebase.
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MiniCPM3-4B is the 3rd generation of MiniCPM series. The overall performance of MiniCPM3-4B surpasses Phi-3.5-mini-Instruct and GPT-3.5-Turbo-0125, being comparable with many recent 7B~9B models.
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Explore Local AI Playground, a free app for offline AI experimentation. Features include CPU inferencing, model management, and more.
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Phi-3 Mini is a lightweight, state-of-the-art open model built upon datasets used for Phi-2 - synthetic data and filtered websites - with a focus on very high-quality, reasoning dense data.
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Mistral Small 3 ( 2501 ) sets a new benchmark in the "small" Large Language Models category below 70B, boasting 24B parameters and achieving state-of-the-art capabilities comparable to larger models!
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Run fast, private, cost-effective AI directly on mobile devices. Cactus: cross-platform edge inference framework for developers.
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JetMoE-8B is trained with less than $ 0.1 million1 cost but outperforms LLaMA2-7B from Meta AI, who has multi-billion-dollar training resources. LLM training can be much cheaper than people generally thought.
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The New Paradigm of Development Based on MaaS , Unleashing AI with our universal model service