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<section id="generate-text-using-lookahead-decoding">
<h1>Generate Text Using Lookahead Decoding<a class="headerlink" href="#generate-text-using-lookahead-decoding" title="Link to this heading"></a></h1>
<p>Source <a class="reference external" href="https://github.com/NVIDIA/TensorRT-LLM/tree/main/examples/llm-api/llm_lookahead_decoding.py">https://github.com/NVIDIA/TensorRT-LLM/tree/main/examples/llm-api/llm_lookahead_decoding.py</a>.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="linenos"> 1</span><span class="c1">### Generate Text Using Lookahead Decoding</span>
<span class="linenos"> 2</span><span class="kn">from</span><span class="w"> </span><span class="nn">tensorrt_llm</span><span class="w"> </span><span class="kn">import</span> <span class="n">LLM</span><span class="p">,</span> <span class="n">SamplingParams</span>
<span class="linenos"> 3</span><span class="kn">from</span><span class="w"> </span><span class="nn">tensorrt_llm.llmapi</span><span class="w"> </span><span class="kn">import</span> <span class="p">(</span><span class="n">LLM</span><span class="p">,</span> <span class="n">BuildConfig</span><span class="p">,</span> <span class="n">KvCacheConfig</span><span class="p">,</span>
<span class="linenos"> 4</span> <span class="n">LookaheadDecodingConfig</span><span class="p">,</span> <span class="n">SamplingParams</span><span class="p">)</span>
<span class="linenos"> 5</span>
<span class="linenos"> 6</span>
<span class="linenos"> 7</span><span class="k">def</span><span class="w"> </span><span class="nf">main</span><span class="p">():</span>
<span class="linenos"> 8</span>
<span class="linenos"> 9</span> <span class="c1"># The end user can customize the build configuration with the build_config class</span>
<span class="linenos">10</span> <span class="n">build_config</span> <span class="o">=</span> <span class="n">BuildConfig</span><span class="p">()</span>
<span class="linenos">11</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_batch_size</span> <span class="o">=</span> <span class="mi">32</span>
<span class="linenos">12</span>
<span class="linenos">13</span> <span class="c1"># The configuration for lookahead decoding</span>
<span class="linenos">14</span> <span class="n">lookahead_config</span> <span class="o">=</span> <span class="n">LookaheadDecodingConfig</span><span class="p">(</span><span class="n">max_window_size</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
<span class="linenos">15</span> <span class="n">max_ngram_size</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
<span class="linenos">16</span> <span class="n">max_verification_set_size</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
<span class="linenos">17</span>
<span class="linenos">18</span> <span class="n">kv_cache_config</span> <span class="o">=</span> <span class="n">KvCacheConfig</span><span class="p">(</span><span class="n">free_gpu_memory_fraction</span><span class="o">=</span><span class="mf">0.4</span><span class="p">)</span>
<span class="linenos">19</span> <span class="n">llm</span> <span class="o">=</span> <span class="n">LLM</span><span class="p">(</span><span class="n">model</span><span class="o">=</span><span class="s2">&quot;TinyLlama/TinyLlama-1.1B-Chat-v1.0&quot;</span><span class="p">,</span>
<span class="linenos">20</span> <span class="n">kv_cache_config</span><span class="o">=</span><span class="n">kv_cache_config</span><span class="p">,</span>
<span class="linenos">21</span> <span class="n">build_config</span><span class="o">=</span><span class="n">build_config</span><span class="p">,</span>
<span class="linenos">22</span> <span class="n">speculative_config</span><span class="o">=</span><span class="n">lookahead_config</span><span class="p">)</span>
<span class="linenos">23</span>
<span class="linenos">24</span> <span class="n">prompt</span> <span class="o">=</span> <span class="s2">&quot;NVIDIA is a great company because&quot;</span>
<span class="linenos">25</span> <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Prompt: </span><span class="si">{</span><span class="n">prompt</span><span class="si">!r}</span><span class="s2">&quot;</span><span class="p">)</span>
<span class="linenos">26</span>
<span class="linenos">27</span> <span class="n">sampling_params</span> <span class="o">=</span> <span class="n">SamplingParams</span><span class="p">(</span><span class="n">lookahead_config</span><span class="o">=</span><span class="n">lookahead_config</span><span class="p">)</span>
<span class="linenos">28</span>
<span class="linenos">29</span> <span class="n">output</span> <span class="o">=</span> <span class="n">llm</span><span class="o">.</span><span class="n">generate</span><span class="p">(</span><span class="n">prompt</span><span class="p">,</span> <span class="n">sampling_params</span><span class="o">=</span><span class="n">sampling_params</span><span class="p">)</span>
<span class="linenos">30</span> <span class="nb">print</span><span class="p">(</span><span class="n">output</span><span class="p">)</span>
<span class="linenos">31</span>
<span class="linenos">32</span> <span class="c1">#Output should be similar to:</span>
<span class="linenos">33</span> <span class="c1"># Prompt: &#39;NVIDIA is a great company because&#39;</span>
<span class="linenos">34</span> <span class="c1">#RequestOutput(request_id=2, prompt=&#39;NVIDIA is a great company because&#39;, prompt_token_ids=[1, 405, 13044, 10764, 338, 263, 2107, 5001, 1363], outputs=[CompletionOutput(index=0, text=&#39;they are always pushing the envelope. They are always trying to make the best graphics cards and the best processors. They are always trying to make the best&#39;, token_ids=[896, 526, 2337, 27556, 278, 427, 21367, 29889, 2688, 526, 2337, 1811, 304, 1207, 278, 1900, 18533, 15889, 322, 278, 1900, 1889, 943, 29889, 2688, 526, 2337, 1811, 304, 1207, 278, 1900], cumulative_logprob=None, logprobs=[], finish_reason=&#39;length&#39;, stop_reason=None, generation_logits=None)], finished=True)</span>
<span class="linenos">35</span>
<span class="linenos">36</span>
<span class="linenos">37</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;__main__&#39;</span><span class="p">:</span>
<span class="linenos">38</span> <span class="n">main</span><span class="p">()</span>
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