Text Generation Inference (TGI)
Hugging Face's optimized inference server for deploying LLMs with continuous batching and flash attention
Open SourceOpen source (Apache 2.0 / HFOIL), free to use APIOpen Source api
Visit Text Generation Inference (TGI)About Text Generation Inference (TGI)
Text Generation Inference (TGI) by Hugging Face is a production-ready inference server for large language models. It implements continuous batching, flash attention, PagedAttention, and tensor parallelism for high-throughput serving. TGI supports quantization (GPTQ, AWQ, bitsandbytes), LoRA adapters, and provides an OpenAI-compatible API.
Key Features
- Continuous batching
- Flash attention
- Tensor parallelism
- Quantization support
- LoRA adapters
- OpenAI-compatible API
- Token streaming
Pros
- Production-tested at scale
- HuggingFace model compatibility
- Good quantization support
- Active development
Cons
- Complex configuration
- GPU infrastructure required
- HFOIL license for some features
Tags
llm-inferencemodel-servingopen-sourcehugging-faceoptimization
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