Customizing NVIDIA NIMs for Domain-Specific Needs with NVIDIA NeMo
Table of Contents
- Download the Llama 3 8B Instruct model
- Get the NeMo framework container
- Fine-tune the Llama 3 8B Instruct model with LoRA
- Save the LoRA adapter
- Prepare your LoRA model store
- Deploy the customized LoRA model with NVIDIA NIM
- Conclusion
1. Download the Llama 3 8B Instruct model
- Download the Llama 3 8B Instruct model from the NVIDIA NGC catalog using the CLI. The model is already in .nemo format.
2. Get the NeMo framework container
- Obtain the NeMo framework container from the NGC catalog, which contains the necessary environment and scripts for LoRA fine-tuning.
3. Fine-tune the Llama 3 8B Instruct model with LoRA
- Fine-tune the downloaded Llama 3 8B Instruct model using LoRA, and create a customized model that aligns with domain-specific needs.
4. Save the LoRA adapter
- Save the customized LoRA model in .nemo format for deployment with NVIDIA NIM.
5. Prepare your LoRA model store
- Organize the LoRA adapter in a folder structure to be used for inference, with each folder representing a specific customized model.
6. Deploy the customized LoRA model with NVIDIA NIM
- Utilize NVIDIA NIM to deploy the customized LoRA model for inference in an enterprise environment.
7. Conclusion
- By leveraging NVIDIA NeMo and NIM, enterprises can easily customize generative AI models to meet domain-specific requirements, accelerating the deployment of AI solutions tailored to their needs.
