# Run on local machine

**URL:** <https://forum.weaviate.io/t/run-on-local-machine/837>\
**Category:** General\
**Created:** [October 16, 2023, 1:52pm UTC](https://forum.weaviate.io/t/run-on-local-machine/837 "2023-10-16T13:52:28Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Ajay\_Yadav](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/ajay_yadav/32/573_2.png) [@Ajay\_Yadav](https://forum.weaviate.io/u/Ajay_Yadav)\
**Post date:** [October 16, 2023, 1:52pm UTC](https://forum.weaviate.io/t/run-on-local-machine/837/1 "2023-10-16T13:52:28Z")

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how can i run it on my local machine ? for my own embedding model , without using any APIs

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**Author:** ![DudaNogueira](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/dudanogueira/32/7846_2.png) [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)\
**Post date:** [October 17, 2023, 1:38pm UTC](https://forum.weaviate.io/t/run-on-local-machine/837/2 "2023-10-17T13:38:38Z")

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Hi @Ajay_Yadav !

You can run different inference models on your own machine. Note that those are usually resource hungry, requiring significant resources to run with a good performance.

One nice inference model (not opensource, unfortunatelly) that is very interesting in looking at is this one:

> **[multi2vec-bind | Weaviate - vector database](https://weaviate.io/developers/weaviate/modules/retriever-vectorizer-modules/multi2vec-bind)**
>
> Overview

Zain did a really nice blog post here about this subject:

> **[Running Large Language Models Privately - privateGPT and Beyond | Weaviate -...](https://weaviate.io/blog/private-llm)**
>
> A discussion on data privacy and privacy-preserving machine learning for LLMs

Let me know if this helps 🙂