Update readme for release 2.6 #6742
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wawltor
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Aug 15, 2023
README.md
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| ## News 📢 | ||
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| * **2023.6.12 发布 [PaddleNLP v2.6rc 预览版](https://github.com/PaddlePaddle/PaddleNLP/releases/tag/v2.6.0rc)** | ||
| * 🔨 大模型全流程范例：全面支持主流开源大模型[BLOOM](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/bloom), [ChatGLM](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/chatglm), [GLM](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/glm), [LLaMA](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/llama), [OPT](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/opt)的训练和推理；[Trainer API](./docs/trainer.md)新增张量训练能力, 简单配置即可开启分布式训练；新增低参数微调能力[PEFT](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/peft), 助力大模型高效微调 | ||
| * **2023.8.15 [PaddleNLP v2.6](https://github.com/PaddlePaddle/PaddleNLP/releases/tag/v2.6.0)**： 发布[全流程大模型工具链](./llm)，涵盖预训练，精调，压缩，推理以及部署等各个环节，为用户提供端到端的大模型方案和一站式的开发体验；内置[分布式全场景Trainer](./docs/trainer.md)，[高效微调算法LoRA/Prefix Tuning](./llm#33-lora), [自研int8/int4量化算法](./llm#6-量化)等等；全面支持[LLaMA 1/2](./llm/llama), [BLOOM](.llm/bloom), [ChatGLM 1/2](./llm/chatglm), [GLM](./llm/glm), [OPT](./llm/opt)等主流中文大模型 |
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分布式全场景Trainer 看是否可以改成 4D并行分布式Trainer
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int8 int4 量化 一般都是大写INT4、INT8
README.md
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| ## 社区交流 | ||
| - python >= 3.7 | ||
| - paddlepaddle >= 2.3.0 | ||
| - 如需大模型功能，请使用 paddlepaddle >= 2.5.1 |
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paddlepaddle -> paddlepaddle-gpu
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