Fine-tune Llama 2 on Replicate

What this post added

This post details the process of fine-tuning Llama 2 models on Replicate. It covers selecting appropriate Llama 2 base or chat models, preparing training data in JSONL format, creating a new model on Replicate for the fine-tuned version, authenticating with the Replicate API, and initiating a training job using `replicate.trainings.create`. It also provides an example of how to run the fine-tuned model with a specific prompt and stop sequences.