# Inference Endpoints creation

**URL:** <https://discuss.huggingface.co/t/inference-endpoints-creation/64644>\
**Category:** Intermediate\
**Created:** [December 5, 2023, 11:22am UTC](https://discuss.huggingface.co/t/inference-endpoints-creation/64644 "2023-12-05T11:22:49Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![coreaiteam](https://avatars.discourse-cdn.com/v4/letter/c/7993a0/32.png) [@coreaiteam](https://discuss.huggingface.co/u/coreaiteam)\
**Post date:** [December 5, 2023, 11:22am UTC](https://discuss.huggingface.co/t/inference-endpoints-creation/64644/1 "2023-12-05T11:22:49Z")

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I have finetuned a LLM model on my custom data using peft and lora on Autotrain Advance UI.  
Now how to create a inference endpoint after finetuning it?  
If anyone have idea about it or have done this before please share it.

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**Author:** ![iarbel](https://avatars.discourse-cdn.com/v4/letter/i/3da27b/32.png) [@iarbel](https://discuss.huggingface.co/u/iarbel)\
**Post date:** [January 14, 2024, 11:05am UTC](https://discuss.huggingface.co/t/inference-endpoints-creation/64644/2 "2024-01-14T11:05:39Z")

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+1 for that. text-generation-inference supports loading a PeftModel directly with the adapter, without the need to merge weights before. I’d expect the Inference Endpoints to support this option, however I couldn’t find a way to do it. Specifically for quantized models this is very important, as it’s not possible to merge LoRA weights into the base