---
license: llama2
---

# Model Card for Model ID

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

**dragon-llama-qa-tool** is a 4_K_M quantized GGUF version of DRAGON Llama, providing a fast, small inference implementation.

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

    from llmware.models import ModelCatalog

    qa_tool = ModelCatalog().load_model("llmware/dragon-llama-qa-tool")
    response = qa_tool.inference(query, text_sample)


### 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-llama (finetuned llama)

## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

All of the DRAGON models use the following prompt wrapper template:

    "<human> " + context + "\n" + question + "\n<bot>: "


## Model Card Contact

Darren Oberst & llmware team