Fine-tune Any LLM from the Hugging Face Hub with Together AI

Back to Articles Fine-tune Any LLM from the Hugging Face Hub with Together AI Team Article Published September 10, 2025 Upvote 9 +3 Zain Hasan zainhasan Follow togethercomputer Artem Chumachenko artek0chumak Follow togethercomputer Egor Timofeev timofeev1995 Follow togethercomputer Max Ryabinin mryab Follow togethercomputer The pace of AI development today is breathtaking. Every single day, hundreds of new models appear on the Hugging Face Hub, some are specialized variants of popular base models like Llama or Qwen, others feature novel architectures or have been trained from scratch for specific domains. Whether it's a medical AI trained on clinical data, a coding assistant optimized for a particular programming language, or a multilingual model fine-tuned for specific cultural contexts, the Hugging Face Hub has become the beating heart of open-source AI innovation. But here's the challenge: finding an amazing model is just the beginning. What happens when you discover a model that's 90% perfect for your use case, but you need that extra 10% of customization? Traditional fine-tuning infrastructure is complex, expensive, and often requires significant DevOps expertise to set up and maintain. This is exactly the gap that Together AI and Hugging Face are bridging today. We're announcing a powerful new capability that makes the entire Hugging Face Hub available for fine-tuning using Together AI's infrastructure. Now, any compatible LLM on the Hub, whether it's from Meta or an...