Deepthink Reasoning 7 B G G U F

Introduction

The Deepthink-Reasoning-7B-GGUF is a fine-tuned version of the Deepthink-Reasoning-7B base model, optimized for text generation tasks requiring deep reasoning, logical structuring, and problem-solving. This model is well-suited for applications in education, programming, and creative writing, offering robust natural language processing capabilities.

Architecture

Deepthink-Reasoning-7B-GGUF boasts an optimized architecture that excels in generating step-by-step solutions, creative content, and logical analyses. It integrates advanced understanding of structured and unstructured data, ensuring precise text generation aligned with user inputs. Key features include:

• Enhanced capabilities in coding and mathematics due to specialized expert models.
• Improved instruction following and generation of long texts (over 8K tokens).
• Support for understanding structured data like tables and generating structured outputs, especially JSON.
• Resilience to diverse system prompts, enhancing role-play and condition-setting for chatbots.
• Long-context support up to 128K tokens, with generation capabilities up to 8K tokens.
• Multilingual support for over 29 languages.

Training

The model has been fine-tuned to enhance its reasoning and problem-solving capabilities, integrating knowledge from specialized expert models, particularly in coding and mathematical domains. This results in improved performance across a variety of complex queries.

Guide: Running Locally

Running Deepthink-Reasoning-7B-GGUF locally can be streamlined using Ollama, a tool that simplifies managing machine learning models. Follow these steps:

1. Install Ollama: Download and install Ollama from ollama.com/download.
2. Create Your Model File:
   • Create a file named after your model, e.g., metallama.
   • Add the base model specification:

     FROM Llama-3.2-1B.F16.gguf
     

   • Ensure the base model file is in the same directory.
3. Create and Patch the Model:

   ollama create metallama -f ./metallama
   ollama list
   

4. Run the Model:

   ollama run metallama
   

5. Interact with the Model: Engage with it by entering queries such as:

   >>> Tell me about Space X.
   

Cloud GPUs

For more intensive tasks, consider using cloud GPU services such as AWS, Google Cloud, or Azure to boost computational efficiency.

License

The Deepthink-Reasoning-7B-GGUF model is released under the CreativeML OpenRAIL-M license, stipulating guidelines for sharing and usage.