by magdalenakuhn17 · Agent Tool · ★ 87
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awesome-cheap-llms :yellowheart: Costs of RAG based applications :blueheart: Follow Joanna on LinkedIn :heavyplussign: Follow Magdalena on LinkedIn :star: Give this repository a star to support the initiative! :pointright: Let’s make sure that your LLM application doesn’t burn a hole in your pocket. :pointright: Let’s instead make sure your LLM application generates a positive ROI for you, your company and your users. :pointright: A nice side effect of choosing cheaper models over expensive models: the response time is shorter! Techniques to reduce costs 1) :bluebook: Choose model family and type Selecting a suitable model or combination of models based on factors, such as speciality, size and benchmark results, builds the foundation for developing cost-sensible LLM applications. The aim is to choose a model that fits the complexity of the task. Same as you wouldn't tak
| Stars | 87 |
| Forks | 11 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 50.9063976601966/100 |
| Open Issues | 1 |
| Last Updated | 2025-07-06 |
| Created | 2024-04-04 |
| Platforms | python |
| Est. Tokens | ~120k |
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awesome-cheap-llms is Cost reduction tools and techniques for LLM based systems. It is categorized as a Agent Tool with 87 GitHub stars.
awesome-cheap-llms is primarily written in Python.
You can find installation instructions and usage details in the awesome-cheap-llms GitHub repository at github.com/magdalenakuhn17/awesome-cheap-llms. The project has 87 stars and 11 forks, indicating an active community.
The top alternatives to awesome-cheap-llms on Agent Skills Hub include tutor-skills, lenny-skills, repren. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.