Qw Q 32 B Preview Idea Whiz v1 G G U F

Introduction

The QwQ-32B-Preview-IdeaWhiz-v1-GGUF is a fine-tuned model designed to enhance scientific creativity and step-by-step reasoning. It is optimized to generate novel scientific ideas and hypotheses, leveraging the LiveIdeaBench dataset.

Architecture

• Base Model: QwQ-32B-Preview
• Training Dataset: LiveIdeaBench
• Key Features:
  • Focus on scientific creativity and idea generation
  • o1-style step-by-step reasoning

Training

The model is trained using the LiveIdeaBench dataset, which evaluates the scientific creativity and idea generation capabilities of large language models (LLMs) with minimal context. This dataset is pivotal for refining the model's ability to generate innovative and research-driven outputs.

Guide: Running Locally

To run the QwQ-32B-Preview-IdeaWhiz-v1 model locally, follow these steps:

1. Install Dependencies: Ensure you have the required dependencies and the ollama CLI installed.
2. Clone Model Repository: Use the following command to run the model:

   ollama run 6cf/QwQ-32B-Preview-IdeaWhiz-v1
   

3. Execute: Follow the instructions for providing input to the model.

Suggestion for Cloud GPUs: Consider using cloud services like AWS, GCP, or Azure to take advantage of GPU capabilities, which can significantly improve the performance and speed of model inference.

License

The model is released under the Apache 2.0 license, allowing for broad use and modification while ensuring proper attribution.