Files
xc-llm-ascend/docs/source/community/user_stories/index.md
Yikun Jiang 05dec7eda9 [Doc] Refactor and init user story page (#1224)
### What this PR does / why we need it?
This PR refactor the user stories page:
- Move it to community
- Add initial info of LLaMA-Factory, Huggingface/trl, MindIE Turbo,
GPUStack, verl
- Add a new page for LLaMA-Factory

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Preview locally

Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
2025-06-17 09:36:35 +08:00

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1.9 KiB
Markdown

# User Stories
Read case studies on how users and developers solves real, everyday problems with vLLM Ascend
- [LLaMA-Factory](./llamafactory.md) is an easy-to-use and efficient platform for training and fine-tuning large language models, it supports vLLM Ascend to speed up inference since [LLaMA-Factory#7739](https://github.com/hiyouga/LLaMA-Factory/pull/7739), gain 2x performance enhancement of inference.
- [Huggingface/trl](https://github.com/huggingface/trl) is a cutting-edge library designed for post-training foundation models using advanced techniques like SFT, PPO and DPO, it uses vLLM Ascend since [v0.17.0](https://github.com/huggingface/trl/releases/tag/v0.17.0) to support RLHF on Ascend NPU.
- [MindIE Turbo](https://pypi.org/project/mindie-turbo) is an LLM inference engine acceleration plug-in library developed by Huawei on Ascend hardware, which includes self-developed large language model optimization algorithms and optimizations related to the inference engine framework. It supports vLLM Ascend since [2.0rc1](https://www.hiascend.com/document/detail/zh/mindie/20RC1/AcceleratePlugin/turbodev/mindie-turbo-0001.html).
- [GPUStack](https://github.com/gpustack/gpustack) is an open-source GPU cluster manager for running AI models. It supports vLLM Ascend since [v0.6.2](https://github.com/gpustack/gpustack/releases/tag/v0.6.2), see more GPUStack performance evaluation info on [link](https://mp.weixin.qq.com/s/pkytJVjcH9_OnffnsFGaew).
- [verl](https://github.com/volcengine/verl) is a flexible, efficient and production-ready RL training library for large language models (LLMs), uses vLLM Ascend since [v0.4.0](https://github.com/volcengine/verl/releases/tag/v0.4.0), see more info on [verl x Ascend Quickstart](https://verl.readthedocs.io/en/latest/ascend_tutorial/ascend_quick_start.html).
:::{toctree}
:caption: More details
:maxdepth: 1
llamafactory
:::