88 lines
2.9 KiB
ReStructuredText
88 lines
2.9 KiB
ReStructuredText
SGLang Documentation
|
|
====================
|
|
|
|
SGLang is a fast serving framework for large language models and vision language models.
|
|
It makes your interaction with models faster and more controllable by co-designing the backend runtime and frontend language.
|
|
The core features include:
|
|
|
|
- **Fast Backend Runtime**: Provides efficient serving with RadixAttention for prefix caching, zero-overhead CPU scheduler, prefill-decode disaggregation, speculative decoding, continuous batching, paged attention, tensor parallelism, pipeline parallelism, expert parallelism, structured outputs, chunked prefill, quantization (FP8/INT4/AWQ/GPTQ), and multi-lora batching.
|
|
- **Flexible Frontend Language**: Offers an intuitive interface for programming LLM applications, including chained generation calls, advanced prompting, control flow, multi-modal inputs, parallelism, and external interactions.
|
|
- **Extensive Model Support**: Supports a wide range of generative models (Llama, Gemma, Mistral, Qwen, DeepSeek, LLaVA, etc.), embedding models (e5-mistral, gte, mcdse) and reward models (Skywork), with easy extensibility for integrating new models.
|
|
- **Active Community**: SGLang is open-source and backed by an active community with industry adoption.
|
|
|
|
.. toctree::
|
|
:maxdepth: 1
|
|
:caption: Installation
|
|
|
|
start/install.md
|
|
|
|
.. toctree::
|
|
:maxdepth: 1
|
|
:caption: Backend Tutorial
|
|
|
|
references/deepseek
|
|
references/llama4
|
|
backend/send_request.ipynb
|
|
backend/openai_api_completions.ipynb
|
|
backend/openai_api_vision.ipynb
|
|
backend/openai_api_embeddings.ipynb
|
|
backend/native_api.ipynb
|
|
backend/offline_engine_api.ipynb
|
|
|
|
.. toctree::
|
|
:maxdepth: 1
|
|
:caption: Advanced Backend Configurations
|
|
|
|
backend/server_arguments.md
|
|
backend/sampling_params.md
|
|
backend/hyperparameter_tuning.md
|
|
backend/attention_backend.md
|
|
|
|
.. toctree::
|
|
:maxdepth: 1
|
|
:caption: Supported Models
|
|
|
|
supported_models/generative_models.md
|
|
supported_models/multimodal_language_models.md
|
|
supported_models/embedding_models.md
|
|
supported_models/reward_models.md
|
|
supported_models/support_new_models.md
|
|
supported_models/transformers_fallback.md
|
|
|
|
.. toctree::
|
|
:maxdepth: 1
|
|
:caption: Advanced Features
|
|
|
|
backend/speculative_decoding.ipynb
|
|
backend/structured_outputs.ipynb
|
|
backend/function_calling.ipynb
|
|
backend/separate_reasoning.ipynb
|
|
backend/structured_outputs_for_reasoning_models.ipynb
|
|
backend/custom_chat_template.md
|
|
backend/quantization.md
|
|
backend/lora.ipynb
|
|
backend/pd_disaggregation.md
|
|
|
|
.. toctree::
|
|
:maxdepth: 1
|
|
:caption: Frontend Tutorial
|
|
|
|
frontend/frontend.ipynb
|
|
frontend/choices_methods.md
|
|
|
|
.. toctree::
|
|
:maxdepth: 1
|
|
:caption: SGLang Router
|
|
|
|
router/router.md
|
|
|
|
.. toctree::
|
|
:maxdepth: 1
|
|
:caption: References
|
|
|
|
references/general
|
|
references/hardware
|
|
references/advanced_deploy
|
|
references/performance_analysis_and_optimization
|
|
references/developer
|