Tülu 3 Alternatives

Tülu 3 is a superb AI tool in the Large Language Models field.However, there are many other excellent options in the market. To help you find the solution that best fits your needs, we have carefully selected over 30 alternatives for you. Among these choices, Tülu 3 405B,TuneTrain.ai and Transformer Lab are the most commonly considered alternatives by users.

When choosing an Tülu 3 alternative, please pay special attention to their pricing, user experience, features, and support services. Each software has its unique strengths, so it's worth your time to compare them carefully according to your specific needs. Start exploring these alternatives now and find the software solution that's perfect for you.

Pricing:

Best Tülu 3 Alternatives in 2025

  1. Tülu3 is a leading instruction following model family, offering fully open-source data, code, and recipes designed to serve as a comprehensive guide for modern post-training techniques. Tülu3 is designed for state-of-the-art performance on a diversity of tasks in addition to chat, such as MATH, GSM8K, and IFEval.

  2. Transform your data into powerful, customized language models. Augment your dataset, select a model, and deploy your fine-tuned AI easily.

  3. 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.

  4. 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.

  5. Discover the peak of AI with Meta Llama 3, featuring unmatched performance, scalability, and post-training enhancements. Ideal for translation, chatbots, and educational content. Elevate your AI journey with Llama 3.

  6. Build cheaper, faster, smarter custom AI models. FinetuneDB helps you fine-tune LLMs with your data for better performance & lower costs.

  7. OLMo 2 32B: Open-source LLM rivals GPT-3.5! Free code, data & weights. Research, customize, & build smarter AI.

  8. MegaTTS3: AI TTS for bilingual voice generation (EN/CN). Lightweight, voice cloning, & accent control. Open-source!

  9. 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!

  10. 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.

  11. Fine-tune AIs: No-code AI model creation. Upload Excel/CSV/JSONL data, one-click train, visual config. Free in beta. Build custom AIs now!

  12. A Trailblazing Language Model Family for Advanced AI Applications. Explore efficient, open-source models with layer-wise scaling for enhanced accuracy.

  13. Tromero Tailor makes fine-tuning and hosting AI models a breeze. Easily transition from using OpenAI to your own privacy-preserving model.

  14. 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.

  15. Start speaking easily with a friendly AI native speaker: English, Deutsch, Français, Español and Chinese. Click the button to start!

  16. Create custom AI models with ease using Ludwig. Scale, optimize, and experiment effortlessly with declarative configuration and expert-level control.

  17. MonsterGPT: Fine-tune & deploy custom AI models via chat. Simplify complex LLM & AI tasks. Access 60+ open-source models easily.

  18. txtai is an all-in-one AI framework for semantic search, LLM orchestration and language model workflows.

  19. 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.

  20. Alfred-40B-0723 is a finetuned version of Falcon-40B, obtained with Reinforcement Learning from Human Feedback (RLHF).

  21. 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.

  22. OpenCoder is an open-source code LLM with high performance. Supports English & Chinese. Offers full reproducible pipeline. Ideal for devs, educators & researchers.

  23. 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.

  24. Build custom AI assistants using your PDFs, YouTube videos, & website content. FineTuner trains AI like ChatGPT on your data. No coding needed!

  25. LLaMA Factory is an open-source low-code large model fine-tuning framework that integrates the widely used fine-tuning techniques in the industry and supports zero-code fine-tuning of large models through the Web UI interface.

  26. Gemma 3: Google's open-source AI for powerful, multimodal apps. Build multilingual solutions easily with flexible, safe models.

  27. Meta's Llama 4: Open AI with MoE. Process text, images, video. Huge context window. Build smarter, faster!

  28. TensorZero: The open-source, unified LLMOps stack. Build & optimize production-grade LLM applications with high performance & confidence.

  29. Build AI models from scratch! MiniMind offers fast, affordable LLM training on a single GPU. Learn PyTorch & create your own AI.

  30. 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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