exllama vs FasterTransformer
A side-by-side comparison of two LLM Inference AI agents — to help you pick the right one.
exllama
exllama is a highly optimized implementation of the Llama language model for inference, specifically designed to work efficiently with quantized weights. It improves upon the Hugging Face transformers implementation by reducing memory usage and increasing speed, making it suitable for resource-constrained environments.
FasterTransformer
FasterTransformer is an open-source library developed by NVIDIA for accelerating transformer-based large language model (LLM) inference. It provides highly optimized implementations for popular transformer architectures, enabling faster and more efficient deployment of LLMs. The project has transitioned to TensorRT-LLM, which builds upon its optimizations.
| exllama | FasterTransformer | |
|---|---|---|
| Category | LLM Inference | LLM Inference |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Skill level | Intermediate | Intermediate |
| Pricing | Open Source | Open Source |
exllama: what it solves
It addresses the inefficiencies in running large language models by providing a faster and more memory-efficient alternative, particularly for quantized models.
FasterTransformer: what it solves
It reduces latency and computational costs for running transformer-based models in production by optimizing inference performance on NVIDIA GPUs.