lorax
LoRAX is a cost-effective framework for serving fine-tuned large language models efficiently on a single GPU, maintaining high throughput and low latency. It enables dynamic adapter loading and merging from various sources such as HuggingFace and Predibase, ensuring seamless concurrent processing. With support for heterogeneous batching, optimized inference, and ready-for-production tools like Docker images and Prometheus metrics, LoRAX is well-suited for diverse deployment scenarios. This platform supports models like Llama and Mistral and is free for commercial use under the Apache 2.0 License.
