Fine-Tuning Platform Upgrades: Larger Models, Longer Contexts, Enhanced Hugging Face Integrations

What this post added

This post details significant upgrades to the Together Fine-Tuning Platform. Key enhancements include: expanded support for large models (100B+ parameters) from families like DeepSeek, Qwen, and Meta; substantial increases in supported context lengths (2x-4x on average, up to 131k tokens for specific models); seamless integration with Hugging Face Hub for importing and exporting model checkpoints; and new DPO training variants (LN-DPO, DPO+NLL, SimPO). The platform also now fully supports `batch_size='max'` for API and client-initiated jobs, optimizing performance and future-proofing training runs.