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Text Generation Inference project preview
Ai MlAlternative to TensorRT-LLMAlternative to vLLMAlternative to Triton

Text Generation Inference

High-performance model serving toolkit by Hugging Face for large language models.

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LicenseApache-2.0
GitHub stars9.5k
Last commit1 weeks ago
Tags6 topics
Ai MlHuggingfaceRustLlm InferencePythonFlash Attention
Overview

Why consider Text Generation Inference?

Text Generation Inference (TGI) is a toolkit developed by Hugging Face for deploying and serving LLMs in production. It features Tensor Parallelism, continuous token batching, FlashAttention-2, and token streaming.

Guided learning

Learn Text Generation Inference by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Text Generation Inference

TGI delivers low-latency model inference across multi-GPU server clusters, powering Hugging Face's production Chat and Inference APIs.

Running with Docker

bash
1docker run --gpus all -p 8080:80 \
2 -v $(pwd)/data:/data \
3 ghcr.io/huggingface/text-generation-inference:2.2.0 \
4 --model-id meta-llama/Meta-Llama-3-8B-Instruct

Text Generation Inference is licensed under the Apache License Version 2.0.

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Text Generation Inference FAQs

Text Generation Inference is listed as a Ai Ml tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Text Generation Inference is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Text Generation Inference is listed as an alternative to TensorRT-LLM. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.