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Text Generation Inference

Hugging Face's high-performance LLM serving with Rust/Python for production

★ 10,862 GitHub Apache-2.0 llm-servinginferencehuggingfacetext-generationself-hostedtransformer LLM & Chat

Overview

Text Generation Inference (TGI) is Hugging Face's production-grade serving solution for Large Language Models. Built with Rust and Python, TGI delivers blazing-fast inference with features like tensor parallelism, continuous batching, streaming tokens, and quantization support (bitsandbytes, GPTQ, AWQ). It supports all major open-source LLMs and provides an OpenAI-compatible API endpoint. With 10k+ GitHub stars, TGI is the go-to deployment solution for enterprises and developers running LLMs at scale in production environments. It integrates seamlessly with the Hugging Face ecosystem, allowing one-command deployment of thousands of models from the Hub.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
16384 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  text-generation-inference:
    image: ghcr.io/huggingface/text-generation-inference:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/text-generation-inference:/data

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