FedML alternatives
12 fine-tuning tools in the same lane as FedML, ranked by editorial score.
Together AI
FeaturedFine-tune & serve open-weight models (Llama, Mistral, DeepSeek).
Modal
Serverless GPUs and infra for training & serving ML.
Replicate
One-API platform for running and fine-tuning open-source models.
OpenAI Fine-tuning
Fine-tune GPT-4o-mini and friends on your own data.
Llama
Meta's open-weight LLM family covering 1B mobile models up to 405B frontier and natively multimodal 10M-context Llama 4 variants.
RunPod
On-demand GPU cloud and serverless inference platform built specifically for AI workloads.
vLLM
Open-source high-throughput inference engine for serving LLMs with PagedAttention and continuous batching.
CoreWeave
AI-native GPU cloud built for large-scale training, fine-tuning, and inference on NVIDIA hardware.
Ludwig
Declarative, YAML-driven deep learning framework for fine-tuning LLMs and multi-modal models without writing training loops.
OpenPipe
Fine-tuning and reinforcement learning platform for turning expensive prompts into cheap, fast, task-specific models.
SGLang
Open-source high-throughput inference engine for LLMs and multimodal models with OpenAI-compatible serving.
Unsloth
Open-source LLM fine-tuning toolkit with custom kernels that train 2-30x faster and use up to 90% less VRAM.