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简介DeepSpeed-Chat 是一个用于 RLHF 训练的通用系统框架，它能够轻松、快速、经济、可扩展地训练类似于 ChatGPT 的模型， GitHub。
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DeepSpeed-Chat Llama/Llama-2
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<p>blog<a target="_blank" rel="noopener" href="https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed-chat/ds-chat-release-8-31/README.md">DeepSpeed-Chat for llama/llama2</a></p>
<h1 id="简介"><a href="#简介" class="headerlink" title="简介"></a>简介</h1><p>DeepSpeed-Chat 是一个用于 RLHF 训练的通用系统框架，它能够轻松、快速、经济、可扩展地训练类似于 ChatGPT 的模型， <a target="_blank" rel="noopener" href="https://github.com/microsoft/DeepSpeedExamples/tree/master/applications/DeepSpeed-Chat">GitHub</a>。</p>
<p>已更新对 Llama/Llama-2 模型系列的系统支持。实现了并利用了各种优化和功能，包括混合引擎(Hybrid Engine)、ZeRO 优化系列(ZeRO family of optimizations)、低秩自适应（LoRA）支持，以及完全整合到三阶段的 DeepSpeed-Chat RLHF 流程中。通过利用混合引擎，将 Llama-2-7B 和 Llama-2-13B 模型的体验生成阶段加速了最多 7.1 倍。</p>
<h1 id="内容"><a href="#内容" class="headerlink" title="内容"></a>内容</h1><p>DeepSpeed-Chat 训练框架现在在训练的所有三个阶段都提供了对 Llama 和 Llama-2 模型的系统支持。Llama 模型架构与标准的 Transformer 模块不同，与 DeepSpeed 的推断内核和混合引擎所使用的 DeepSpeed 容器策略不兼容。作者在DeepSpeed-Chat 流程和 DeepSpeed 运行时中进行广泛的修改，包括支持 ZeRO 优化系列及其与混合引擎中优化推断内核的交互的代码，从而解决了这些挑战，以确保 DeepSpeed-Chat 可以支持 Llama 和 Llama-2，并为用户提供最佳体验。</p>
<h1 id="关键支持的优化"><a href="#关键支持的优化" class="headerlink" title="关键支持的优化"></a>关键支持的优化</h1><p>以下是已经完全整合到 Llama 和 Llama-2 模型中的 DeepSpeed 的关键优化技术：</p>
<ul>
<li>DeepSpeed-Chat 整合：已完全整合到完整的、端到端的三阶段 DeepSpeed-Chat RLHF 训练框架中，基于 OpenAI InstructGPT 训练策略。</li>
<li>混合引擎：DeepSpeed 混合引擎允许在生成阶段实现卓越的加速，现在支持所有 Llama-1 模型变种、Llama-2-7B 和 Llama-2-13B 模型。</li>
<li>ZeRO 和 ZeRO-Offload：完全支持 ZeRO 优化系列，包括利用系统的全部内存容量进行卸载支持，从而使训练更大模型成为可能。</li>
<li>混合精度 ZeRO++（MixZ++）：通过新的 MixZ++ 功能，增强了对更大模型（如 Llama-2-70B）的支持，提高了效率，并在存在冻结或不可训练参数时减少了内存使用。<br>LoRA：完全支持 LoRA 功能，通过冻结原始权重并学习秩分解矩阵对，大幅减少了大型语言模型的存储需求。<h1 id="脚本地址"><a href="#脚本地址" class="headerlink" title="脚本地址"></a>脚本地址</h1><table>
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<td align="center">1</td>
<td align="center"><a target="_blank" rel="noopener" href="https://github.com/microsoft/DeepSpeedExamples/tree/master/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/training_scripts/llama2">Llama-2 Step 1 Scripts</a></td>
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<td align="center"><a target="_blank" rel="noopener" href="https://github.com/microsoft/DeepSpeedExamples/tree/master/applications/DeepSpeed-Chat/training/step2_reward_model_finetuning/training_scripts/llama2">Llama-2 Step 2 Scripts</a></td>
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<td align="center"><a target="_blank" rel="noopener" href="https://github.com/microsoft/DeepSpeedExamples/tree/master/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/training_scripts/llama2">Llama-2 Step 3 Scripts</a></td>
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