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MANIFEST.in

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recursive-include swift/llm/dataset/data *.*
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recursive-include swift/llm/ds_config *.json
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recursive-include requirements *.txt
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recursive-include swift/plugin/agent *.json
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recursive-include swift/plugin/loss_scale/config *.json

README.md

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<p align="center">
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<a href="https://arxiv.org/abs/2408.05517">Paper</a> &nbsp | <a href="https://swift.readthedocs.io/en/latest/">Swift3.x En Doc</a> &nbsp | &nbsp <a href="https://swift.readthedocs.io/zh-cn/latest/">Swift3.x中文文档</a> &nbsp
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</p>
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<p align="center">
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<a href="https://swift2x-en.readthedocs.io/en/latest/">Swift2.x En Doc</a> &nbsp | &nbsp <a href="https://swift2x.readthedocs.io/zh-cn/latest/">Swift2.x中文文档</a> &nbsp
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</p>
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## 📖 Table of Contents
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- [Groups](#-Groups)
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## 🎉 News
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- 🎁 2025.04.15: SWIFT paper has been accepted by AAAI 2025, you can find the paper [here](https://ojs.aaai.org/index.php/AAAI/article/view/35383).
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- 🎁 2025.03.23: SWIFT supports multi round GRPO, this is used to construct multi turn conversations(use cases like agent tool calling), check script [here](examples/train/grpo/train_multi_round.sh).
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- 🎁 2025.03.16: SWIFT supports training with Megatron's parallel technology. Please refer to the [Megatron-SWIFT Training Documentation](https://swift.readthedocs.io/en/latest/Instruction/Megatron-SWIFT-Training.html).
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- 🎁 2025.03.15: SWIFT support the fine-tuning of gme(multi-modal) embedding models,please check the [training script](examples/train/embedding/train_gme.sh)
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| peft | >=0.11,<0.16 | ||
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| trl | >=0.13,<0.17 | 0.16 |RLHF|
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| deepspeed | >=0.14 | 0.14.5 | Training |
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| vllm | >=0.5.1 | 0.7.3/0.8.3 | Inference/Deployment/Evaluation |
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| vllm | >=0.5.1 | 0.7.3/0.8.4 | Inference/Deployment/Evaluation |
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| lmdeploy | >=0.5 | 0.7.2.post1 | Inference/Deployment/Evaluation |
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| evalscope | >=0.11 | | Evaluation |
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README_CN.md

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<p align="center">
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<a href="https://arxiv.org/abs/2408.05517">论文</a> &nbsp | <a href="https://swift.readthedocs.io/en/latest/">Swift3.x En Doc</a> &nbsp | &nbsp <a href="https://swift.readthedocs.io/zh-cn/latest/">Swift3.x中文文档</a> &nbsp
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</p>
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<a href="https://swift2x-en.readthedocs.io/en/latest/">Swift2.x En Doc</a> &nbsp | &nbsp <a href="https://swift2x.readthedocs.io/zh-cn/latest/">Swift2.x中文文档</a> &nbsp
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## 📖 目录
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- [用户群](#-用户群)
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- **模型量化**:支持AWQ、GPTQ和BNB的量化导出,导出的模型支持使用vLLM/LmDeploy推理加速,并支持继续训练。
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## 🎉 新闻
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- 🎁 2025.04.15: SWIFT论文已经被AAAI 2025接收, 论文地址在[这里](https://ojs.aaai.org/index.php/AAAI/article/view/35383).
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- 🎁 2025.03.23: SWIFT支持了多轮GRPO, 用于构建多轮对话场景的训练(例如agent tool calling), 请查看[训练脚本](examples/train/grpo/train_multi_round.sh).
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- 🎁 2025.03.16: SWIFT支持了Megatron的并行技术进行训练,请查看[Megatron-SWIFT训练文档](https://swift.readthedocs.io/zh-cn/latest/Instruction/Megatron-SWIFT训练.html)
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- 🎁 2025.03.15: SWIFT支持了gme(多模态)embedding模型的微调,请查看[训练脚本](examples/train/embedding/train_gme.sh)
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| peft | >=0.11,<0.16 | ||
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| trl | >=0.13,<0.17 | 0.16 |RLHF|
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| deepspeed | >=0.14 | 0.14.5 |训练|
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| vllm | >=0.5.1 | 0.7.3/0.8.3 |推理/部署/评测|
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| vllm | >=0.5.1 | 0.7.3/0.8.4 |推理/部署/评测|
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| lmdeploy | >=0.5 | 0.7.2.post1 |推理/部署/评测|
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| evalscope | >=0.11 | |评测|
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