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兼容 OpenAI 协议的服务化部署
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<h1 id="_1">量化</h1>
<p>FastDeploy支持FP8、INT8、INT4、2-bit等多种量化推理精度，支持模型权重、激活和KVCache 3种张量的不同精度推理，可以满足低成本、低时延、长上下文等不同场景的推理需求。</p>
<h2 id="1">1. 精度支持列表</h2>
<table>
<thead>
<tr>
<th>量化方法</th>
<th>权重精度</th>
<th>激活精度</th>
<th>KVCache精度</th>
<th>在线/离线</th>
<th>支持硬件</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="online_quantization/#1-wint8--wint4">WINT8</a></td>
<td>INT8</td>
<td>BF16</td>
<td>BF16</td>
<td>在线</td>
<td>GPU, XPU</td>
</tr>
<tr>
<td><a href="online_quantization/#1-wint8--wint4">WINT4</a></td>
<td>INT4</td>
<td>BF16</td>
<td>BF16</td>
<td>在线</td>
<td>GPU, XPU</td>
</tr>
<tr>
<td><a href="online_quantization/#2-block-wise-fp8">block_wise_fp8</a></td>
<td>block-wise static FP8</td>
<td>token-wise dynamic FP8</td>
<td>BF16</td>
<td>在线</td>
<td>GPU</td>
</tr>
<tr>
<td><a href="wint2/">WINT2</a></td>
<td>2Bits</td>
<td>BF16</td>
<td>BF16</td>
<td>离线</td>
<td>GPU</td>
</tr>
<tr>
<td>MixQuant</td>
<td>INT4/INT8</td>
<td>INT8/BF16</td>
<td>INT8/BF16</td>
<td>离线</td>
<td>GPU, XPU</td>
</tr>
</tbody>
</table>
<p><strong>说明</strong></p>
<ol>
<li><strong>量化方法</strong>：对应量化配置文件中的"quantization"字段；</li>
<li><strong>在线/离线量化</strong>：主要用于区分权重的量化时间</li>
<li><strong>在线量化</strong>：推理引擎在加载 BF16 权重后，再对权重做量化；</li>
<li><strong>离线量化</strong>：在推理之前，将权重离线地量化并存储为低比特数值类型，推理时，加载量化后的低比特数值。</li>
<li><strong>动态量化/静态量化</strong>：主要用于区别激活的量化方式</li>
<li><strong>静态量化（static）</strong>：在推理之前，确定并存储量化系数，推理时加载提前计算好的量化系数。因为量化系数在推理时是固定不变的，所以叫静态量化（static quantization）；</li>
<li><strong>动态量化（dynamic）</strong>：在推理时，即时地统计当前batch的量化系数。因为量化系数在推理时是动态地变化的，所以叫动态量化（dynamic quantization）。</li>
</ol>
<h2 id="2">2. 模型支持列表</h2>
<table>
<thead>
<tr>
<th>模型名称</th>
<th>支持量化精度</th>
</tr>
</thead>
<tbody>
<tr>
<td>ERNIE-4.5-300B-A47B</td>
<td>WINT8, WINT4, Block_wise= FP8, MixQuant</td>
</tr>
</tbody>
</table>
<h2 id="3">3. 量化精度术语</h2>
<p>FastDeploy 按以下格式命名各种量化精度：</p>
<pre><code>{tensor缩写}{数值类型}{tensor缩写}{数值类型}{tensor缩写}{数值类型}
</code></pre>
<p>部分示例如下：</p>
<ul>
<li><strong>W8A8C8</strong>：W=weights，A=activations，C=CacheKV；8默认为INT8</li>
<li><strong>W8A8C16</strong>：16默认为BF16，其它同上</li>
<li><strong>W4A16C16 / WInt4 / weight-only int4</strong>：4默认为INT4</li>
<li><strong>WNF4A8C8</strong>：NF4指4bit norm-float数值类型</li>
<li><strong>Wfp8Afp8</strong>：权重和激活均为FP8精度</li>
<li><strong>W4Afp8</strong>：权重为INT4, 激活为FP8</li>
</ul>
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