Best AI tools for lora adapters

Fine-tune & serve open-weight models (Llama, Mistral, DeepSeek).

One-API platform for running and fine-tuning open-source models.

Meta's open-weight LLM family covering 1B mobile models up to 405B frontier and natively multimodal 10M-context Llama 4 variants.

Declarative, YAML-driven deep learning framework for fine-tuning LLMs and multi-modal models without writing training loops.

Fine-tuning and reinforcement learning platform for turning expensive prompts into cheap, fast, task-specific models.

Open-source LLM fine-tuning toolkit with custom kernels that train 2-30x faster and use up to 90% less VRAM.

No-code fine-tuning and training pipeline that spins up state-of-the-art models on the Hugging Face Hub.

Managed fine-tuning platform for open-source LLMs and vision models with LoRA, full fine-tuning, and RL support.

Production inference and fine-tuning platform for open-source LLMs, tuned for speed and enterprise economics.

Open-source, no-code WebUI for fine-tuning 100+ open LLMs with LoRA, QLoRA, DPO, and PPO.