Unsloth
llm library
Ultra-fast fine-tuning with 80% less memory
Supported languages
Unsloth is a library that accelerates LLM fine-tuning up to 2x while reducing memory usage by 80%. It achieves this through optimized kernels written in Triton, without sacrificing quality or changing the training algorithm.
Concepts
triton-kernelsmemory-optimizationgradient-checkpointingfused-operationsquantized-training
Pros and Cons
Ventajas
- + 2x faster than standard implementations
- + 80% less memory usage
- + Compatible with popular models
- + Easy to integrate with existing code
- + Very capable free version
- + Exports to multiple formats
Desventajas
- - Limited support to specific models
- - Less flexible than pure PEFT
- - Paid Pro version for advanced features
- - Smaller community
Casos de Uso
- Fine-tuning on consumer GPUs
- Training large models locally
- Cloud cost reduction
- Rapid experiment iteration
- Production with limited resources