OpenLLM

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

12.1k

Stars

+176

Gained

1.5%

Growth

Python

Language

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💡 Why It Matters

OpenLLM addresses the challenge of deploying open-source large language models (LLMs) as compatible API endpoints, making it easier for engineering teams to integrate advanced AI capabilities into their applications. This is particularly beneficial for ML/AI teams looking to leverage models like Llama and DeepSeek without the overhead of building and maintaining complex infrastructure. With a steady growth of 176 stars over 96 days, OpenLLM demonstrates stable community interest and maturity, indicating it is a production-ready solution. However, it may not be the right choice for teams requiring highly specialised or proprietary models that are not supported by this tool.

🎯 When to Use

OpenLLM is a strong choice when teams need a reliable, open-source tool for engineering teams to deploy LLMs quickly and efficiently. Teams should consider alternatives if they require extensive customisation or support for niche models not available within the OpenLLM ecosystem.

👥 Team Fit & Use Cases

This tool is primarily used by ML engineers, data scientists, and AI researchers who need to implement LLMs in their projects. It is typically included in products and systems that require natural language processing capabilities, such as chatbots, content generation platforms, and AI-driven analytics tools.

🎭 Best For

Machine Learning and AI Engineer

🏷️ Topics & Ecosystem

bentoml fine-tuning llama llama2 llama3-1 llama3-2 llama3-2-vision llm llm-inference llm-ops llm-serving llmops mistral mlops model-inference open-source-llm openllm vicuna

📊 Activity

Latest commit: 2026-02-09. Over the past 97 days, this repository gained 176 stars (+1.5% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.