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4 products in this category
Streamlined fine-tuning for LLMs with LoRA, QLoRA, and full fine-tune
Axolotl is an open-source fine-tuning framework that simplifies training LLMs with LoRA, QLoRA, FSDP, and DeepSpeed. It supports a wide range of base models and dataset formats with a single YAML config.
Up to 5x faster, 80% less memory LLM fine-tuning
Unsloth makes LLM fine-tuning up to 5× faster and uses up to 80% less GPU memory by using custom CUDA kernels and optimized training paths. Compatible with Hugging Face ecosystem, LoRA, QLoRA, and popular base models.
The standard library for working with pretrained ML models
Transformers by Hugging Face is the most widely used open-source library for working with pretrained models across NLP, vision, audio, and multimodal tasks. Supports PyTorch, TensorFlow, and JAX with 500k+ models on the Hub.
A comprehensive, modular Java Machine Learning Framework inspired by scikit-learn, developed by the SuperML community.
SuperML Java 3.1.2 is a sophisticated 21-module machine learning library for Java that delivers enterprise-grade performance with 400K+ predictions/second and 21/21 modules compiling successfully. Now published on Maven Central.