Unsloth
Fine-tune LLMs up to 30x faster with 90% less memory usage
Unsloth is an open-source fine-tuning framework that dramatically accelerates LLM training while reducing memory usage. It supports popular models including Llama, Mistral, Phi, Gemma, and Qwen, with full compatibility with Hugging Face's transformers and TRL libraries. Unsloth achieves its speed gains through custom Triton kernels and intelligent memory optimization, requiring no changes to existing training code. Free and Pro tiers are available, with enterprise support for multi-node deployments.
Pricing: Free / monthly subscriptions
Unsloth Alternatives
Explore 21 products in the Fine-tuning category. View all Unsloth alternatives.
Amazon Bedrock
Managed API access to foundation models on AWS with built-in fine-tuning and agent tooling
OVHcloud AI
European cloud provider with AI inference, training, and deployment services
LLaMA-Factory
Open-source fine-tuning framework for 100+ LLMs with a web UI
torchtune
PyTorch-native library for fine-tuning LLMs on consumer and enterprise GPUs
TRL
Hugging Face library for training language models with RLHF, SFT, and DPO
Is your product missing?