LoRAX
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About
LoRAX (LoRA eXchange) is a framework enabling the serving of thousands of fine-tuned large language models on a single GPU. It dramatically reduces the serving costs without impacting throughput or latency. Key features include dynamic adapter loading from various sources, heterogeneous continuous batching, optimized inference, and support for Docker and Kubernetes deployment. Users can work with high throughput while maintaining low latency optimizations. LoRAX is compatible with the OpenAI API for chat functionalities and is designed for production use with pre-built components and metrics. The tool supports multiple base models and can dynamically load task-specific adapters making it versatile for various use cases.
Platform
Task
Features
• dynamic adapter loading
• heterogeneous continuous batching
• optimized inference
• docker and kubernetes integration
• ready for production
• support for openai api
• multi-lora inference server
FAQs
What is LoRAX?
LoRAX is a framework for serving multiple fine-tuned models on a single GPU.
What languages does LoRAX support?
LoRAX supports models including Llama, CodeLlama, Mistral, and others.
How can I deploy LoRAX?
LoRAX can be deployed using Docker, Kubernetes, or locally.
Is LoRAX free for commercial use?
Yes, LoRAX is free for commercial use under the Apache 2.0 License.
Pricing Plans
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