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TEXT GENERATION INFERENCE
High-performance open-source LLM serving from Hugging Face
Apache-2.0
ABOUT
Serving open-weight language models reliably in production usually means hand-rolling GPU server setup, request batching, token streaming, metrics, and model-specific optimizations. Text Generation Inference packages those concerns into a production-oriented server so teams can expose performant LLM APIs without building their own inference stack from scratch.
INSTALL
docker pull ghcr.io/huggingface/text-generation-inference:latestINTEGRATION GUIDE
1. Serve open-weight LLMs behind an API for chatbots, copilots, or agent backends
2. Run high-throughput text generation with batching and streaming on GPU infrastructure
3. Deploy quantized or optimized Hugging Face models for internal AI products
4. Benchmark and compare self-hosted model serving setups for latency and throughput
5. Power RAG or tool-calling systems with a reusable inference endpoint
TAGS
llm-servinginference-servertext-generationhugging-facebatchingquantizationgpu