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# LLaMA-Factory
**Introduction**
[LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) is an easy-to-use and efficient platform for training and fine-tuning large language models. With LLaMA-Factory, you can fine-tune hundreds of pre-trained models locally without writing any code.
LLaMA-Facotory users need to evaluate and inference the model after fine-tuning.
**Business challenge**
LLaMA-Factory uses Transformers to perform inference on Ascend NPUs, but the speed is slow.
**Benefits with vLLM Ascend**
With the joint efforts of LLaMA-Factory and vLLM Ascend ([LLaMA-Factory#7739](https://github.com/hiyouga/LLaMA-Factory/pull/7739)), LLaMA-Factory has achieved significant performance gains during model inference. Benchmark results show that its inference speed is now up to 2× faster compared to the Transformers implementation.
**Learn more**
See more details about LLaMA-Factory and how it uses vLLM Ascend for inference on Ascend NPUs in [LLaMA-Factory Ascend NPU Inference](https://llamafactory.readthedocs.io/en/latest/advanced/npu_inference.html).