PaddleNLP and EasyLLM
These are competitors offering overlapping functionality for simplified LLM deployment, though PaddleNLP is a mature, production-ready framework while EasyLLM appears to be an early-stage wrapper project with minimal adoption.
About PaddleNLP
PaddlePaddle/PaddleNLP
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Supports distributed training across 4D parallelism (data, tensor, pipeline, and expert parallel), lossless quantization (FP8, INT8, 4-bit), and high-performance inference with FlashMask operator fusion and dynamic batching. Unified Checkpoint enables flexible resource scaling and 78.5% storage compression, while integrating with PaddlePaddle's framework-specific optimizations like column-sparse attention masking for efficient large model deployment across NVIDIA GPUs, Kunlun XPU, Ascend NPU, and other hardware accelerators.
About EasyLLM
janelu9/EasyLLM
Running Large Language Model easily.
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