Best OLMo 2 32B Alternatives in 2025
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Oumi is a fully open-source platform that streamlines the entire lifecycle of foundation models - from data preparation and training to evaluation and deployment. Whether you’re developing on a laptop, launching large scale experiments on a cluster, or deploying models in production, Oumi provides the tools and workflows you need.
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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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Run large language models locally using Ollama. Enjoy easy installation, model customization, and seamless integration for NLP and chatbot development.
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Unlock state-of-the-art AI with gpt-oss open-source language models. High-performance, highly efficient, customizable, and runs on your own hardware.
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OpenCoder is an open-source code LLM with high performance. Supports English & Chinese. Offers full reproducible pipeline. Ideal for devs, educators & researchers.
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A Trailblazing Language Model Family for Advanced AI Applications. Explore efficient, open-source models with layer-wise scaling for enhanced accuracy.
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A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.
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DreamOmni2 is a multimodal AI model designed specifically for intelligent image editing, allowing users to modify existing visuals by adjusting elements like objects, lighting, textures, and style based on text or visual prompts
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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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KTransformers, an open - source project by Tsinghua's KVCache.AI team and QuJing Tech, optimizes large - language model inference. It reduces hardware thresholds, runs 671B - parameter models on 24GB - VRAM single - GPUs, boosts inference speed (up to 286 tokens/s pre - processing, 14 tokens/s generation), and is suitable for personal, enterprise, and academic use.
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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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OpenBioLLM-8B is an advanced open source language model designed specifically for the biomedical domain.
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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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A high-throughput and memory-efficient inference and serving engine for LLMs
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DeepCoder: 64K context code AI. Open-source 14B model beats expectations! Long context, RL training, top performance.
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Build AI models from scratch! MiniMind offers fast, affordable LLM training on a single GPU. Learn PyTorch & create your own AI.
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Kolosal AI is an open-source platform that enables users to run large language models (LLMs) locally on devices like laptops, desktops, and even Raspberry Pi, prioritizing speed, efficiency, privacy, and eco-friendliness.
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Transformer Lab: An open - source platform for building, tuning, and running LLMs locally without coding. Download 100s of models, finetune across hardware, chat, evaluate, and more.
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Discover StableLM, an open-source language model by Stability AI. Generate high-performing text and code on personal devices with small and efficient models. Transparent, accessible, and supportive AI technology for developers and researchers.
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SmolLM is a series of state-of-the-art small language models available in three sizes: 135M, 360M, and 1.7B parameters.
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Discover PaLM 2, Google's advanced language model for reasoning, translation, and coding tasks. Built with responsible AI practices, PaLM 2 excels in multilingual collaboration and specialized code generation.
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LM Studio is an easy to use desktop app for experimenting with local and open-source Large Language Models (LLMs). The LM Studio cross platform desktop app allows you to download and run any ggml-compatible model from Hugging Face, and provides a simple yet powerful model configuration and inferencing UI. The app leverages your GPU when possible.
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Robust and modular LLM prompting using types, templates, constraints and an optimizing runtime.
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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.
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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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OneLLM is your end-to-end no-code platform to build and deploy LLMs.
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ManyLLM: Unify & secure your local LLM workflows. A privacy-first workspace for developers, researchers, with OpenAI API compatibility & local RAG.
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WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models.
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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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Local III makes it easier than ever to use local models. With an interactive setup, you can select an inference provider, select a model, download new models, and more.