Fork of Text Generation Inference.

Published on 2023.08.09 by Nikola Borisov

The text generation inference open source project by huggingface looked like a promising framework for serving large language models (LLM). However, huggingface announced that they will change the license of code with version v1.0.0. While the previous license Apache 2.0 was permissive, the new one is restrictive for our use cases.

Forking the project

We decided to fork the project and continue to maintain it under the Apache 2.0 license. We will continue to contribute to the project and keep it up to date. We will accept pull requests from the community, and we will keep the project truly open source and free to use.

Here is a link to the code: https://github.com/deepinfra/text-generation-inference

We hope that in time a community of other developers and organizations that want to keep this project truly open source will form around it.

License changes mid-flight

Sadly it is becoming more and more common for popular open source projects to change their license after they gain some traction. This happened with MongoDB, Grafana, ElasticSearch, and many others. As a developer, when you decide to adopt a particular open source project, you start investing time and effort into using it. You build your application around it, and you start depending on it. Then, suddenly, the license changes, and you might be forced to find an alternative.

Imagine if meta changes the license of pytorch. Or if tomorrow huggingface decides to change the license of transformers in a similar way to prohibit commercial use.

We believe that the changing of the license of open source projects mid-flight is a unfriendly move towards the community.

If you need any help, just reach out to us on our Discord server.

Related articles

Qwen3.5 0.8B API Benchmarks: Latency, Throughput & CostAbout Qwen3.5 0.8B (Reasoning) Qwen3.5 0.8B is part of Alibaba Cloud’s Qwen3.5 Small Model Series, released on March 2, 2026. Designed under the philosophy of “More Intelligence, Less Compute,” it targets edge devices, mobile phones, and low-latency applications where battery life and memory constraints are critical. It employs an Efficient Hybrid Architecture combining Gated Delta […]

GLM-4.6 API: Get fast first tokens at the best $/M from Deepinfra's API - Deep InfraGLM-4.6 is a high-capacity, “reasoning”-tuned model that shows up in coding copilots, long-context RAG, and multi-tool agent loops. With this class of workload, provider infrastructure determines perceived speed (first-token time), tail stability, and your unit economics. Using ArtificialAnalysis (AA) provider charts for GLM-4.6 (Reasoning), DeepInfra (FP8) pairs a sub-second Time-to-First-Token (TTFT) (0.51 s) with the […]

Gemma 4 on DeepInfra: Fast & Scalable Open AI ModelsGoogle DeepMind’s Gemma 4 scored 88.3% on AIME 2026 mathematics benchmarks in its 26B MoE variant — compared to 20.8% for its predecessor, Gemma 3 27B. That’s not an incremental update. The family spans four model sizes designed for hardware targets as different as a Raspberry Pi and a consumer GPU workstation, with every model […]

View all