---
license: apache-2.0  
inference: false  
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

**dragon-qwen-7b-gguf** is a quantized version of a fact-based question answering model, optimized for complex business documents, fine-tuned on top of Qwen2 7B base, and then packaged with 4_K_M GGUF quantization, providing a fast, small inference implementation for use on CPUs.  


To pull the model via API:  

    from huggingface_hub import snapshot_download           
    snapshot_download("llmware/dragon-qwen-7b-gguf", local_dir="/path/on/your/machine/", local_dir_use_symlinks=False)  
    

Load in your favorite GGUF inference engine, or try with llmware as follows:

    from llmware.models import ModelCatalog  
    model = ModelCatalog().load_model("dragon-qwen-7b-gguf")            
    response = model.inference(query, add_context=text_sample)  

Note: please review [**config.json**](https://huggingface.co/llmware/dragon-qwen-7b-gguf/blob/main/config.json) in the repository for prompt wrapping information, details on the model, and full test set.  


### Model Description

<!-- Provide a longer summary of what this model is. -->

- **Developed by:** llmware
- **Model type:** GGUF 
- **Language(s) (NLP):** English
- **License:** Apache 2.0
- **Quantized from model:** llmware/dragon-qwen
  

## Model Card Contact

Darren Oberst & llmware team