Fine-tune Llama 2 on Replicate

This post details the process of fine-tuning Llama 2 models on Replicate for specific tasks, using text summarization as an example. It outlines the supported Llama 2 models, the required training data format (JSONL), how to create a new model on Replicate, authenticate API access, and initiate a training job using the Replicate Python library. It also demonstrates how to run the fine-tuned model with a prompt and provides next steps for users.