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<p class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
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<p class="caption" role="heading"><span class="caption-text">LLM API</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../llm-api-examples/index.html">LLM Examples Introduction</a></li>
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<p class="caption" role="heading"><span class="caption-text">Architecture</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../architecture/core-concepts.html">Model Definition</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../architecture/checkpoint.html">TensorRT-LLM Checkpoint</a></li>
<li class="toctree-l1"><a class="reference internal" href="../architecture/workflow.html">TensorRT-LLM Build Workflow</a></li>
<li class="toctree-l1"><a class="reference internal" href="../architecture/add-model.html">Adding a Model</a></li>
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<p class="caption" role="heading"><span class="caption-text">Advanced</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../advanced/gpt-attention.html">Multi-Head, Multi-Query, and Group-Query Attention</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/gpt-runtime.html">C++ GPT Runtime</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/executor.html">Executor API</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/graph-rewriting.html">Graph Rewriting Module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/batch-manager.html">The Batch Manager in TensorRT-LLM</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/inference-request.html">Inference Request</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/inference-request.html#responses">Responses</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/lora.html">Run gpt-2b + LoRA using GptManager / cpp runtime</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/expert-parallelism.html">Expert Parallelism in TensorRT-LLM</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../advanced/speculative-decoding.html">Speculative Sampling</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/speculative-decoding.html#lookahead-decoding">Lookahead decoding</a></li>
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<p class="caption" role="heading"><span class="caption-text">Performance</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../performance/perf-overview.html">Overview</a></li>
<li class="toctree-l1"><a class="reference internal" href="../performance/perf-benchmarking.html">Benchmarking</a></li>
<li class="toctree-l1"><a class="reference internal" href="../performance/perf-best-practices.html">Best Practices</a></li>
<li class="toctree-l1"><a class="reference internal" href="../performance/perf-analysis.html">Performance Analysis</a></li>
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<p class="caption" role="heading"><span class="caption-text">Reference</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../reference/troubleshooting.html">Troubleshooting</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../reference/precision.html">Numerical Precision</a></li>
<li class="toctree-l1"><a class="reference internal" href="../reference/memory.html">Memory Usage of TensorRT-LLM</a></li>
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<p class="caption" role="heading"><span class="caption-text">Blogs</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../blogs/H100vsA100.html">H100 has 4.6x A100 Performance in TensorRT-LLM, achieving 10,000 tok/s at 100ms to first token</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/H200launch.html">H200 achieves nearly 12,000 tokens/sec on Llama2-13B with TensorRT-LLM</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/Falcon180B-H200.html">Falcon-180B on a single H200 GPU with INT4 AWQ, and 6.7x faster Llama-70B over A100</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/quantization-in-TRT-LLM.html">Speed up inference with SOTA quantization techniques in TRT-LLM</a></li>
<li class="toctree-l1"><a class="reference internal" href="../blogs/XQA-kernel.html">New XQA-kernel provides 2.4x more Llama-70B throughput within the same latency budget</a></li>
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<h1>All modules for which code is available</h1>
<ul><li><a href="tensorrt_llm/bindings.html">tensorrt_llm.bindings</a></li>
<li><a href="tensorrt_llm/functional.html">tensorrt_llm.functional</a></li>
<li><a href="tensorrt_llm/layers/activation.html">tensorrt_llm.layers.activation</a></li>
<li><a href="tensorrt_llm/layers/attention.html">tensorrt_llm.layers.attention</a></li>
<li><a href="tensorrt_llm/layers/cast.html">tensorrt_llm.layers.cast</a></li>
<li><a href="tensorrt_llm/layers/conv.html">tensorrt_llm.layers.conv</a></li>
<li><a href="tensorrt_llm/layers/embedding.html">tensorrt_llm.layers.embedding</a></li>
<li><a href="tensorrt_llm/layers/linear.html">tensorrt_llm.layers.linear</a></li>
<li><a href="tensorrt_llm/layers/mlp.html">tensorrt_llm.layers.mlp</a></li>
<li><a href="tensorrt_llm/layers/normalization.html">tensorrt_llm.layers.normalization</a></li>
<li><a href="tensorrt_llm/layers/pooling.html">tensorrt_llm.layers.pooling</a></li>
<li><a href="tensorrt_llm/models/baichuan/model.html">tensorrt_llm.models.baichuan.model</a></li>
<li><a href="tensorrt_llm/models/bert/model.html">tensorrt_llm.models.bert.model</a></li>
<li><a href="tensorrt_llm/models/bloom/model.html">tensorrt_llm.models.bloom.model</a></li>
<li><a href="tensorrt_llm/models/chatglm/config.html">tensorrt_llm.models.chatglm.config</a></li>
<li><a href="tensorrt_llm/models/chatglm/model.html">tensorrt_llm.models.chatglm.model</a></li>
<li><a href="tensorrt_llm/models/cogvlm/config.html">tensorrt_llm.models.cogvlm.config</a></li>
<li><a href="tensorrt_llm/models/cogvlm/model.html">tensorrt_llm.models.cogvlm.model</a></li>
<li><a href="tensorrt_llm/models/commandr/model.html">tensorrt_llm.models.commandr.model</a></li>
<li><a href="tensorrt_llm/models/dbrx/config.html">tensorrt_llm.models.dbrx.config</a></li>
<li><a href="tensorrt_llm/models/dbrx/model.html">tensorrt_llm.models.dbrx.model</a></li>
<li><a href="tensorrt_llm/models/deepseek_v1/model.html">tensorrt_llm.models.deepseek_v1.model</a></li>
<li><a href="tensorrt_llm/models/dit/model.html">tensorrt_llm.models.dit.model</a></li>
<li><a href="tensorrt_llm/models/eagle/model.html">tensorrt_llm.models.eagle.model</a></li>
<li><a href="tensorrt_llm/models/enc_dec/model.html">tensorrt_llm.models.enc_dec.model</a></li>
<li><a href="tensorrt_llm/models/falcon/config.html">tensorrt_llm.models.falcon.config</a></li>
<li><a href="tensorrt_llm/models/falcon/model.html">tensorrt_llm.models.falcon.model</a></li>
<li><a href="tensorrt_llm/models/gemma/config.html">tensorrt_llm.models.gemma.config</a></li>
<li><a href="tensorrt_llm/models/gemma/model.html">tensorrt_llm.models.gemma.model</a></li>
<li><a href="tensorrt_llm/models/gpt/config.html">tensorrt_llm.models.gpt.config</a></li>
<li><a href="tensorrt_llm/models/gpt/model.html">tensorrt_llm.models.gpt.model</a></li>
<li><a href="tensorrt_llm/models/gptj/config.html">tensorrt_llm.models.gptj.config</a></li>
<li><a href="tensorrt_llm/models/gptj/model.html">tensorrt_llm.models.gptj.model</a></li>
<li><a href="tensorrt_llm/models/gptneox/model.html">tensorrt_llm.models.gptneox.model</a></li>
<li><a href="tensorrt_llm/models/llama/config.html">tensorrt_llm.models.llama.config</a></li>
<li><a href="tensorrt_llm/models/llama/model.html">tensorrt_llm.models.llama.model</a></li>
<li><a href="tensorrt_llm/models/mamba/model.html">tensorrt_llm.models.mamba.model</a></li>
<li><a href="tensorrt_llm/models/medusa/config.html">tensorrt_llm.models.medusa.config</a></li>
<li><a href="tensorrt_llm/models/medusa/model.html">tensorrt_llm.models.medusa.model</a></li>
<li><a href="tensorrt_llm/models/mllama/model.html">tensorrt_llm.models.mllama.model</a></li>
<li><a href="tensorrt_llm/models/modeling_utils.html">tensorrt_llm.models.modeling_utils</a></li>
<li><a href="tensorrt_llm/models/mpt/model.html">tensorrt_llm.models.mpt.model</a></li>
<li><a href="tensorrt_llm/models/opt/model.html">tensorrt_llm.models.opt.model</a></li>
<li><a href="tensorrt_llm/models/phi/model.html">tensorrt_llm.models.phi.model</a></li>
<li><a href="tensorrt_llm/models/phi3/model.html">tensorrt_llm.models.phi3.model</a></li>
<li><a href="tensorrt_llm/models/recurrentgemma/model.html">tensorrt_llm.models.recurrentgemma.model</a></li>
<li><a href="tensorrt_llm/models/redrafter/model.html">tensorrt_llm.models.redrafter.model</a></li>
<li><a href="tensorrt_llm/plugin/plugin.html">tensorrt_llm.plugin.plugin</a></li>
<li><a href="tensorrt_llm/quantization/mode.html">tensorrt_llm.quantization.mode</a></li>
<li><a href="tensorrt_llm/quantization/quantize_by_modelopt.html">tensorrt_llm.quantization.quantize_by_modelopt</a></li>
<li><a href="tensorrt_llm/runtime/enc_dec_model_runner.html">tensorrt_llm.runtime.enc_dec_model_runner</a></li>
<li><a href="tensorrt_llm/runtime/generation.html">tensorrt_llm.runtime.generation</a></li>
<li><a href="tensorrt_llm/runtime/kv_cache_manager.html">tensorrt_llm.runtime.kv_cache_manager</a></li>
<li><a href="tensorrt_llm/runtime/model_runner.html">tensorrt_llm.runtime.model_runner</a></li>
<li><a href="tensorrt_llm/runtime/model_runner_cpp.html">tensorrt_llm.runtime.model_runner_cpp</a></li>
<li><a href="tensorrt_llm/runtime/multimodal_model_runner.html">tensorrt_llm.runtime.multimodal_model_runner</a></li>
<li><a href="tensorrt_llm/runtime/session.html">tensorrt_llm.runtime.session</a></li>
</ul>
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