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Deploy LLM to Production on Single GPU: REST API for Falcon 7B (with QLoRA) on Inference Endpoints
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How to deploy a fine-tuned LLM (Falcon 7B) with QLoRA to production?
After training Falcon 7B with QLoRA on a custom dataset, the next step is deploying the model to production. In this tutorial, we'll use HuggingFace Inference Endpoints to build and deploy our model behind a REST API.
00:00 - Introduction
01:42 - Google Colab Setup
02:35 - Merge QLoRA adapter with Falcon 7B
05:22 - Push Model to HuggingFace Hub
09:20 - Inference with the Merged Model
11:31 - HuggingFace Inference Endpoints with Custom Handler
15:55 - Create Endpoint for the Deployment
18:20 - Test the Rest API
21:03 - Conclusion
Cloud image by macrovector-official
#chatgpt #gpt4 #llms #artificialintelligence #promptengineering #chatbot #transformers #python #pytorch
After training Falcon 7B with QLoRA on a custom dataset, the next step is deploying the model to production. In this tutorial, we'll use HuggingFace Inference Endpoints to build and deploy our model behind a REST API.
00:00 - Introduction
01:42 - Google Colab Setup
02:35 - Merge QLoRA adapter with Falcon 7B
05:22 - Push Model to HuggingFace Hub
09:20 - Inference with the Merged Model
11:31 - HuggingFace Inference Endpoints with Custom Handler
15:55 - Create Endpoint for the Deployment
18:20 - Test the Rest API
21:03 - Conclusion
Cloud image by macrovector-official
#chatgpt #gpt4 #llms #artificialintelligence #promptengineering #chatbot #transformers #python #pytorch
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