# Finetuning LLM model using serverless container
**URL:** https://forum.verda.com/t/finetuning-llm-model-using-serverless-container/67
**Category:** General Discussion
**Created:** [October 20, 2025, 1:57pm UTC](https://forum.verda.com/t/finetuning-llm-model-using-serverless-container/67 "2025-10-20T13:57:03Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@Alpaca](https://forum.verda.com/u/Alpaca)
#### Post date: [October 20, 2025, 1:57pm UTC](https://forum.verda.com/t/finetuning-llm-model-using-serverless-container/67/1 "2025-10-20T13:57:03Z")
Hi, I want to deploy a finetuned LLM model using serverless container. Since the model is quite large (\>100GB), it’s not super practical to download the model before the request.
I have also noticed sometimes a new request creates a container and it’d download the image again. How can I make sure that my image and its models are downloaded just once?
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### Author:  [@TeamVerda](https://forum.verda.com/u/TeamVerda)
#### Post date: [October 21, 2025, 6:28am UTC](https://forum.verda.com/t/finetuning-llm-model-using-serverless-container/67/2 "2025-10-21T06:28:57Z")
Hi @Alpaca, you can use the general storage for storing weights. This volume will then be shared between all replicas of your deployment. Please download to `/data` in your container or change the mount to whatever location your container would save the weights to.
