Model Overview

The alignment-handbook/zephyr-7b-sft-full is a 7 billion parameter language model derived from the Mistral-7B-v0.1 architecture. This model has undergone supervised fine-tuning (SFT) using the comprehensive HuggingFaceH4/ultrachat_200k dataset, which is designed to enhance conversational abilities and alignment.

Key Training Details

• Base Model: mistralai/Mistral-7B-v0.1
• Dataset: HuggingFaceH4/ultrachat_200k
• Training Objective: Supervised Fine-Tuning (SFT)
• Validation Loss: Achieved 0.9353 on the evaluation set.
• Hyperparameters: Trained with a learning rate of 2e-05, a total batch size of 128, and 1 epoch using an Adam optimizer with cosine learning rate scheduling.

Intended Use Cases

This model is primarily intended for applications that benefit from a fine-tuned Mistral-7B variant with improved conversational understanding and generation. Its training on a large-scale chat dataset suggests suitability for:

• Chatbots and Conversational AI: Engaging in dialogue and responding to user queries.
• Instruction Following: Executing tasks based on explicit instructions.
• General Text Generation: Producing coherent and contextually relevant text in various formats.