thefabdev/llama-3-docker-ft

Model Overview

thefabdev/llama-3-docker-ft is an 8 billion parameter language model, fine-tuned from meta-llama/Meta-Llama-3-8B-Instruct. Its primary function is to translate natural language requests into Docker CLI commands. This model was developed as a learning-lab artifact, demonstrating a LoRA fine-tuning exercise rather than a production-ready release.

Key Capabilities

• Docker CLI Command Generation: Specifically designed to convert short, single-turn natural language instructions about containers and images into their corresponding Docker CLI commands.
• LoRA Fine-tuning: Utilizes LoRA (peft) with r=16 and lora_alpha=32, targeting key projection layers, resulting in 41.9 million trainable parameters.
• Merged Weights: The LoRA adapter weights have been merged into the base model, providing a standalone fine-tuned checkpoint.

Training Details

The model was fine-tuned on the MattCoddity/dockerNLcommands dataset, which pairs natural language requests with Docker CLI commands. Training involved 2 epochs (484 steps) with an effective batch size of 8, achieving a validation loss of 0.341.

Intended Use Cases

This model is ideal for developers or users who need to quickly generate Docker CLI commands from natural language prompts. It serves as an excellent example of a specialized fine-tuning application. It is not intended for general-purpose assistant use or multi-turn conversations. Users should independently verify generated commands for correctness and safety before execution, especially in production environments, as no safety evaluation has been performed.