69 lines
2.1 KiB
YAML
69 lines
2.1 KiB
YAML
- sections:
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- local: index
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title: Text Generation Inference
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- local: quicktour
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title: Quick Tour
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- local: installation_nvidia
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title: Using TGI with Nvidia GPUs
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- local: installation_amd
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title: Using TGI with AMD GPUs
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- local: installation_gaudi
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title: Using TGI with Intel Gaudi
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- local: installation_inferentia
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title: Using TGI with AWS Inferentia
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- local: installation
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title: Installation from source
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- local: supported_models
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title: Supported Models and Hardware
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- local: messages_api
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title: Messages API
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- local: architecture
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title: Internal Architecture
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title: Getting started
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- sections:
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- local: basic_tutorials/consuming_tgi
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title: Consuming TGI
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- local: basic_tutorials/preparing_model
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title: Preparing Model for Serving
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- local: basic_tutorials/gated_model_access
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title: Serving Private & Gated Models
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- local: basic_tutorials/using_cli
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title: Using TGI CLI
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- local: basic_tutorials/launcher
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title: All TGI CLI options
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- local: basic_tutorials/non_core_models
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title: Non-core Model Serving
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- local: basic_tutorials/safety
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title: Safety
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- local: basic_tutorials/using_guidance
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title: Using Guidance, JSON, tools
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- local: basic_tutorials/visual_language_models
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title: Visual Language Models
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- local: basic_tutorials/monitoring
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title: Monitoring TGI with Prometheus and Grafana
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- local: basic_tutorials/train_medusa
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title: Train Medusa
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title: Tutorials
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- sections:
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- local: conceptual/streaming
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title: Streaming
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- local: conceptual/quantization
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title: Quantization
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- local: conceptual/tensor_parallelism
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title: Tensor Parallelism
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- local: conceptual/paged_attention
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title: PagedAttention
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- local: conceptual/safetensors
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title: Safetensors
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- local: conceptual/flash_attention
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title: Flash Attention
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- local: conceptual/speculation
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title: Speculation (Medusa, ngram)
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- local: conceptual/guidance
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title: How Guidance Works (via outlines
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- local: conceptual/lora
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title: LoRA (Low-Rank Adaptation)
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title: Conceptual Guides
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