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<li class="toctree-l1"><a class="reference internal" href="../overview.html">Overview</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../quick-start-guide.html">Quick Start Guide</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../installation/index.html">Installation</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l2"><a class="reference internal" href="../installation/containers.html">Pre-built release container images on NGC</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../installation/linux.html">Installing on Linux via <code class="docutils literal notranslate"><span class="pre">pip</span></code></a></li>
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</ul>
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">Deployment Guide</span></p>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../examples/llm_api_examples.html">LLM Examples</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference.html">Generate text</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_async.html">Generate text asynchronously</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_async_streaming.html">Generate text in streaming</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_inference_distributed.html">Distributed LLM Generation</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_guided_decoding.html">Generate text with guided decoding</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_logits_processor.html">Control generated text using logits processor</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_multilora.html">Generate text with multiple LoRA adapters</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_sparse_attention.html">Sparse Attention</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_speculative_decoding.html">Speculative Decoding</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_kv_cache_connector.html">KV Cache Connector</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_kv_cache_offloading.html">KV Cache Offloading</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_runtime.html">Runtime Configuration Examples</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_sampling.html">Sampling Techniques Showcase</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_mgmn_llm_distributed.html">Run LLM-API with pytorch backend on Slurm</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_mgmn_trtllm_bench.html">Run trtllm-bench with pytorch backend on Slurm</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/llm_mgmn_trtllm_serve.html">Run trtllm-serve with pytorch backend on Slurm</a></li>
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</ul>
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</details></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../examples/trtllm_serve_examples.html">Online Serving Examples</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l2"><a class="reference internal" href="../examples/aiperf_client.html">Aiperf Client</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/aiperf_client_for_multimodal.html">Aiperf Client For Multimodal</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/curl_chat_client.html">Curl Chat Client</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/curl_chat_client_for_multimodal.html">Curl Chat Client For Multimodal</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/curl_completion_client.html">Curl Completion Client</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/curl_responses_client.html">Curl Responses Client</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/deepseek_r1_reasoning_parser.html">Deepseek R1 Reasoning Parser</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/openai_chat_client.html">OpenAI Chat Client</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../examples/openai_chat_client_for_multimodal.html">OpenAI Chat Client for Multimodal</a></li>
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||
<li class="toctree-l2"><a class="reference internal" href="../examples/openai_completion_client.html">OpenAI Completion Client</a></li>
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||
<li class="toctree-l2"><a class="reference internal" href="../examples/openai_completion_client_for_lora.html">Openai Completion Client For Lora</a></li>
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||
<li class="toctree-l2"><a class="reference internal" href="../examples/openai_completion_client_json_schema.html">OpenAI Completion Client with JSON Schema</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../examples/openai_responses_client.html">OpenAI Responses Client</a></li>
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</ul>
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</details></li>
|
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<li class="toctree-l1"><a class="reference internal" href="../examples/dynamo_k8s_example.html">Dynamo K8s Example</a></li>
|
||
<li class="toctree-l1 has-children"><a class="reference internal" href="../deployment-guide/index.html">Model Recipes</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
|
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<li class="toctree-l2"><a class="reference internal" href="../deployment-guide/deployment-guide-for-deepseek-r1-on-trtllm.html">Deployment Guide for DeepSeek R1 on TensorRT LLM - Blackwell & Hopper Hardware</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../deployment-guide/deployment-guide-for-llama3.3-70b-on-trtllm.html">Deployment Guide for Llama3.3 70B on TensorRT LLM - Blackwell & Hopper Hardware</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../deployment-guide/deployment-guide-for-llama4-scout-on-trtllm.html">Deployment Guide for Llama4 Scout 17B on TensorRT LLM - Blackwell & Hopper Hardware</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../deployment-guide/deployment-guide-for-gpt-oss-on-trtllm.html">Deployment Guide for GPT-OSS on TensorRT-LLM - Blackwell Hardware</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../deployment-guide/deployment-guide-for-qwen3-on-trtllm.html">Deployment Guide for Qwen3 on TensorRT LLM - Blackwell & Hopper Hardware</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../deployment-guide/deployment-guide-for-qwen3-next-on-trtllm.html">Deployment Guide for Qwen3 Next on TensorRT LLM - Blackwell & Hopper Hardware</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../deployment-guide/deployment-guide-for-kimi-k2-thinking-on-trtllm.html">Deployment Guide for Kimi K2 Thinking on TensorRT LLM - Blackwell</a></li>
|
||
</ul>
|
||
</details></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Models</span></p>
|
||
<ul class="nav bd-sidenav">
|
||
<li class="toctree-l1"><a class="reference internal" href="../models/supported-models.html">Supported Models</a></li>
|
||
|
||
<li class="toctree-l1"><a class="reference internal" href="../models/adding-new-model.html">Adding a New Model</a></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">CLI Reference</span></p>
|
||
<ul class="nav bd-sidenav">
|
||
<li class="toctree-l1"><a class="reference internal" href="../commands/trtllm-bench.html">trtllm-bench</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../commands/trtllm-eval.html">trtllm-eval</a></li>
|
||
<li class="toctree-l1 has-children"><a class="reference internal" href="../commands/trtllm-serve/index.html">trtllm-serve</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
|
||
<li class="toctree-l2"><a class="reference internal" href="../commands/trtllm-serve/trtllm-serve.html">trtllm-serve</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../commands/trtllm-serve/run-benchmark-with-trtllm-serve.html">Run benchmarking with <code class="docutils literal notranslate"><span class="pre">trtllm-serve</span></code></a></li>
|
||
</ul>
|
||
</details></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">API Reference</span></p>
|
||
<ul class="nav bd-sidenav">
|
||
<li class="toctree-l1"><a class="reference internal" href="../llm-api/index.html">LLM API Introduction</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../llm-api/reference.html">API Reference</a></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Features</span></p>
|
||
<ul class="current nav bd-sidenav">
|
||
<li class="toctree-l1 current active"><a class="current reference internal" href="#">Feature Combination Matrix</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="attention.html">Multi-Head, Multi-Query, and Group-Query Attention</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="disagg-serving.html">Disaggregated Serving</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="kvcache.html">KV Cache System</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="long-sequence.html">Long Sequences</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="lora.html">LoRA (Low-Rank Adaptation)</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="multi-modality.html">Multimodal Support in TensorRT LLM</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="overlap-scheduler.html">Overlap Scheduler</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="paged-attention-ifb-scheduler.html">Paged Attention, IFB, and Request Scheduling</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="parallel-strategy.html">Parallelism in TensorRT LLM</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="quantization.html">Quantization</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="sampling.html">Sampling</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="additional-outputs.html">Additional Outputs</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="guided-decoding.html">Guided Decoding</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="speculative-decoding.html">Speculative Decoding</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="checkpoint-loading.html">Checkpoint Loading</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="auto_deploy/auto-deploy.html">AutoDeploy (Beta)</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="ray-orchestrator.html">Ray Orchestrator (Prototype)</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="torch_compile_and_piecewise_cuda_graph.html">Torch Compile & Piecewise CUDA Graph</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="helix.html">Helix Parallelism</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="kv-cache-connector.html">KV Cache Connector</a></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Developer Guide</span></p>
|
||
<ul class="nav bd-sidenav">
|
||
<li class="toctree-l1"><a class="reference internal" href="../developer-guide/overview.html">Architecture Overview</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../developer-guide/perf-analysis.html">Performance Analysis</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../developer-guide/perf-benchmarking.html">TensorRT LLM Benchmarking</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../developer-guide/ci-overview.html">Continuous Integration Overview</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../developer-guide/dev-containers.html">Using Dev Containers</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../developer-guide/api-change.html">LLM API Change Guide</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../developer-guide/kv-transfer.html">Introduction to KV Cache Transmission</a></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Blogs</span></p>
|
||
<ul class="nav bd-sidenav">
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog10_ADP_Balance_Strategy.html">ADP Balance Strategy</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog11_GPT_OSS_Eagle3.html">Running GPT-OSS-120B with Eagle3 Speculative Decoding on GB200/B200 (TensorRT LLM)</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog12_Combining_Guided_Decoding_and_Speculative_Decoding.html">Combining Guided Decoding and Speculative Decoding: Making CPU and GPU Cooperate Seamlessly</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog13_Inference_Time_Compute_Implementation_in_TensorRT-LLM.html">Inference Time Compute Implementation in TensorRT LLM</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog14_Scaling_Expert_Parallelism_in_TensorRT-LLM_part3.html">Scaling Expert Parallelism in TensorRT LLM (Part 3: Pushing the Performance Boundary)</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog1_Pushing_Latency_Boundaries_Optimizing_DeepSeek-R1_Performance_on_NVIDIA_B200_GPUs.html">Pushing Latency Boundaries: Optimizing DeepSeek-R1 Performance on NVIDIA B200 GPUs</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog2_DeepSeek_R1_MTP_Implementation_and_Optimization.html">DeepSeek R1 MTP Implementation and Optimization</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog3_Optimizing_DeepSeek_R1_Throughput_on_NVIDIA_Blackwell_GPUs.html">Optimizing DeepSeek R1 Throughput on NVIDIA Blackwell GPUs: A Deep Dive for Developers</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog4_Scaling_Expert_Parallelism_in_TensorRT-LLM.html">Scaling Expert Parallelism in TensorRT LLM (Part 1: Design and Implementation of Large-scale EP)</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.html">Disaggregated Serving in TensorRT LLM</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog6_Llama4_maverick_eagle_guide.html">How to launch Llama4 Maverick + Eagle3 TensorRT LLM server</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog7_NGram_performance_Analysis_And_Auto_Enablement.html">N-Gram Speculative Decoding in TensorRT LLM</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog8_Scaling_Expert_Parallelism_in_TensorRT-LLM_part2.html">Scaling Expert Parallelism in TensorRT LLM (Part 2: Performance Status and Optimization)</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/tech_blog/blog9_Deploying_GPT_OSS_on_TRTLLM.html">Running a High Performance GPT-OSS-120B Inference Server with TensorRT LLM</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../blogs/Best_perf_practice_on_DeepSeek-R1_in_TensorRT-LLM.html">How to get best performance on DeepSeek-R1 in TensorRT LLM</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/XQA-kernel.html">New XQA-kernel provides 2.4x more Llama-70B throughput within the same latency budget</a></li>
|
||
<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>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Quick Links</span></p>
|
||
<ul class="nav bd-sidenav">
|
||
<li class="toctree-l1"><a class="reference external" href="https://github.com/NVIDIA/TensorRT-LLM/releases">Releases</a></li>
|
||
<li class="toctree-l1"><a class="reference external" href="https://github.com/NVIDIA/TensorRT-LLM">Github Code</a></li>
|
||
<li class="toctree-l1"><a class="reference external" href="https://github.com/NVIDIA/TensorRT-LLM/issues?q=is%3Aissue%20state%3Aopen%20label%3Aroadmap">Roadmap</a></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Use TensorRT Engine</span></p>
|
||
<ul class="nav bd-sidenav">
|
||
<li class="toctree-l1"><a class="reference internal" href="../legacy/tensorrt_quickstart.html">LLM API with TensorRT Engine</a></li>
|
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</ul>
|
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</div>
|
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</nav></div>
|
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</div>
|
||
|
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|
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<div class="sidebar-primary-items__end sidebar-primary__section">
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</div>
|
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|
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|
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|
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</div>
|
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|
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<main id="main-content" class="bd-main" role="main">
|
||
|
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|
||
<div class="bd-content">
|
||
<div class="bd-article-container">
|
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|
||
<div class="bd-header-article d-print-none">
|
||
<div class="header-article-items header-article__inner">
|
||
|
||
<div class="header-article-items__start">
|
||
|
||
<div class="header-article-item">
|
||
|
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<nav aria-label="Breadcrumb" class="d-print-none">
|
||
<ul class="bd-breadcrumbs">
|
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|
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<li class="breadcrumb-item breadcrumb-home">
|
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<a href="../index.html" class="nav-link" aria-label="Home">
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<i class="fa-solid fa-home"></i>
|
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</a>
|
||
</li>
|
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<li class="breadcrumb-item active" aria-current="page"><span class="ellipsis">Feature Combination Matrix</span></li>
|
||
</ul>
|
||
</nav>
|
||
</div>
|
||
|
||
</div>
|
||
|
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|
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</div>
|
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</div>
|
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|
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|
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|
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|
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<div id="searchbox"></div>
|
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<article class="bd-article">
|
||
|
||
<section class="tex2jax_ignore mathjax_ignore" id="feature-combination-matrix">
|
||
<h1>Feature Combination Matrix<a class="headerlink" href="#feature-combination-matrix" title="Link to this heading">#</a></h1>
|
||
<div class="pst-scrollable-table-container"><table class="table">
|
||
<thead>
|
||
<tr class="row-odd"><th class="head"><p>Feature</p></th>
|
||
<th class="head"><p>Overlap Scheduler</p></th>
|
||
<th class="head"><p>CUDA Graph</p></th>
|
||
<th class="head"><p>Attention Data Parallelism</p></th>
|
||
<th class="head"><p>Disaggregated Serving</p></th>
|
||
<th class="head"><p>Chunked Prefill</p></th>
|
||
<th class="head"><p>MTP</p></th>
|
||
<th class="head"><p>EAGLE-3(One Model Engine)</p></th>
|
||
<th class="head"><p>EAGLE-3(Two Model Engine)</p></th>
|
||
<th class="head"><p>Torch Sampler</p></th>
|
||
<th class="head"><p>TLLM C++ Sampler</p></th>
|
||
<th class="head"><p>KV Cache Reuse</p></th>
|
||
<th class="head"><p>Slide Window Attention</p></th>
|
||
<th class="head"><p>Logits Post Processor</p></th>
|
||
<th class="head"><p>Guided Decoding</p></th>
|
||
<th class="head"><p>LoRA</p></th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr class="row-even"><td><p>Overlap Scheduler</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p>CUDA Graph</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p>Attention Data Parallelism</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p>Disaggregated Serving</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p>Chunked Prefill</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p>MTP</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p>EAGLE-3(One Model Engine)</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>No</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p>EAGLE-3(Two Model Engine)</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>No</p></td>
|
||
<td><p>No</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p>Torch Sampler</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p>TLLM C++ Sampler</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>No</p></td>
|
||
<td><p>No</p></td>
|
||
<td><p>No</p></td>
|
||
<td><p>No</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p>KV Cache Reuse</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p>Slide Window Attention</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>No</p></td>
|
||
<td><p>Untested</p></td>
|
||
<td><p>Untested</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p>Logits Post Processor</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>No</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>No</p></td>
|
||
<td><p>No</p></td>
|
||
<td><p>No</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-odd"><td><p>Guided Decoding</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>—</p></td>
|
||
<td><p></p></td>
|
||
</tr>
|
||
<tr class="row-even"><td><p>LoRA</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>No</p></td>
|
||
<td><p>Untested</p></td>
|
||
<td><p>Untested</p></td>
|
||
<td><p>Untested</p></td>
|
||
<td><p>Untested</p></td>
|
||
<td><p>Untested</p></td>
|
||
<td><p>Untested</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Yes</p></td>
|
||
<td><p>Untested</p></td>
|
||
<td><p>—</p></td>
|
||
</tr>
|
||
</tbody>
|
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</table>
|
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</div>
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</section>
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