Model Overview

The sharthakdey/interviewer-model is a 7 billion parameter instruction-tuned language model, developed by sharthakdey. It is built upon the Mistral architecture, specifically finetuned from the unsloth/mistral-7b-instruct-v0.2-bnb-4bit base model.

Key Characteristics

• Architecture: Mistral-based, leveraging the efficient design of the Mistral 7B model.
• Finetuning: The model was finetuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
• Parameter Count: 7 billion parameters, offering a balance between performance and computational efficiency.
• Context Length: Supports a context length of 4096 tokens.

Intended Use Cases

This model is primarily designed for conversational AI applications, particularly those requiring instruction-following capabilities in a dialogue format. Its finetuning process suggests an optimization for interactive scenarios, making it suitable for:

• Interview Simulation: Generating responses and questions in a simulated interview setting.
• Instruction Following: Executing specific commands or answering questions based on provided instructions.
• General Conversational AI: Engaging in coherent and contextually relevant dialogue.