# Custom BenchMark creation **URL:** \ **Category:** Intermediate\ **Created:** [January 30, 2025, 9:49am UTC](https://discuss.huggingface.co/t/custom-benchmark-creation/138079 "2025-01-30T09:49:27Z")\ **Posts on this page:** 1\ **Showing post:** 3
**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](https://discuss.huggingface.co/u/John6666)\ **Post date:** [January 31, 2025, 5:01am UTC](https://discuss.huggingface.co/t/custom-benchmark-creation/138079/3 "2025-01-31T05:01:10Z")
It’s a field I know nothing about, but it seems that Ragas is famous. > [@Use RAGAS with huggingface LLM](https://discuss.huggingface.co/t/use-ragas-with-huggingface-llm/75769): > > Hello everybody, I want to use the [RAGAS lib](https://github.com/explodinggradients/ragas/tree/main) to evaluate my RAG pipeline. The evaluation model should be a huggingface model like Llama-2, Mistral, Gemma and more. How can I implement it with the named library or is there another solution? The examples by the team [Examples by RAGAS team](https://docs.ragas.io/en/stable/howtos/customisations/bring-your-own-llm-or-embs.html) aren’t helpful for me, because they doesn’t show, how to use specific Huggingface model. Also a specifc langchain pipeline doesn’t work, because it isn’t the required class. Best regards Christian --- _[View the full topic](https://discuss.huggingface.co/t/custom-benchmark-creation/138079)._