PaddlePaddle/PaddleNLP

Health v2 · maintenance only

Adoption not part of the score

12967 stars · 3031 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

PaddleNLP is an easy-to-use NLP and large language model development kit built on the PaddlePaddle deep learning framework, with a large pretrained model zoo. It supports efficient LLM/SLM training, lossless compression, and high-performance inference across multiple hardware platforms including NVIDIA GPUs, Kunlun XPUs, Ascend NPUs, and other accelerators.

Use cases

• train or fine-tune large language models like Llama, Qwen, DeepSeek, and ERNIE
• run high-performance quantized LLM inference on GPUs and domestic accelerators
• extract structured information from documents with UIE
• build question answering and semantic search systems
• perform sentiment analysis and text classification in Chinese and English
• compress large models with quantization and distillation
• run distributed pretraining with tensor and pipeline parallelism

When to choose

• you are in the PaddlePaddle ecosystem or need Chinese-focused NLP models like ERNIE and UIE
• you need multi-hardware training and inference including Ascend NPU or Kunlun XPU
• you want an all-in-one kit covering pretraining, fine-tuning, alignment, compression, and deployment
• you need very high-throughput quantized inference for models like DeepSeek V3/R1

When to avoid

• your stack is PyTorch-based and you prefer Hugging Face Transformers compatibility
• you only need lightweight inference without the PaddlePaddle framework dependency
• your team has no experience with PaddlePaddle and you want the largest community ecosystem

Facets

library · maturity active

llm-training llm-inference nlp machine-learning deep-learning rag transformers large-language-models machine-learning deep-learning python windows paddlepaddle model-zoo information-extraction uie distributed-training model-compression quantization chinese-nlp ernie llama qwen deepseek fine-tuning rlhf natural-language-processing linux macos gpu docker

Member repositories

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markdown · JSON · MCP: product_card(name="PaddlePaddle/PaddleNLP")