jondurbin/airoboros-7b-gpt4
jondurbin/airoboros-7b-gpt4 is a 7 billion parameter Llama-based model fine-tuned by jondurbin using entirely synthetic data generated by GPT-4. This model specializes in context-obedient question answering, coding, and general reasoning tasks, with a 4096 token context length. It is designed to reduce hallucinations by strictly adhering to provided context and excels in areas like trivia, math, and multiple-choice questions.
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Model Overview
jondurbin/airoboros-7b-gpt4 is a 7 billion parameter Llama-based model developed by jondurbin. It is uniquely fine-tuned using a completely synthetic dataset generated by GPT-4, focusing on a diverse range of tasks including trivia, math/reasoning, coding, and context-obedient question answering. The model utilizes a 4096 token context length and is designed to strictly adhere to provided context, aiming to minimize hallucinations.
Key Capabilities
- Context-Obedient Question Answering: Trained to ignore prior knowledge and answer questions solely based on provided context, significantly reducing hallucinations.
- Coding: Demonstrates proficiency in generating code, including complex multi-threaded server implementations and FastAPI applications.
- Reasoning & Problem Solving: Handles math, reasoning, trivia, and multiple-choice questions effectively.
- Creative Writing: Capable of generating creative text, such as a pirate-themed resignation letter.
Good For
- Applications requiring strict contextual adherence: Ideal for scenarios where responses must be limited to provided information.
- Code generation and assistance: Useful for developers needing help with various programming tasks.
- Educational tools: Can be applied to trivia, multiple-choice, and fill-in-the-blank question formats.
Note: This model and its datasets are intended for research use only and cannot be used commercially due to the licensing of the base Llama model and the OpenAI-generated training data.