llmware/dragon-llama-answer-tool

Model Card for Model ID

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dragon-llama-answer-tool is a quantized version of DRAGON Llama 7B, with 4KM GGUF quantization, providing a fast, small inference implementation for use on CPUs.

**dragon-llama-7b** is a fact-based question-answering model, optimized for complex business documents.

To pull the model via API:

from huggingfacehub import snapshotdownload snapshotdownload("llmware/dragon-llama-answer-tool", localdir="/path/on/your/machine/", localdiruse_symlinks=False)

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

from llmware.models import ModelCatalog model = ModelCatalog().loadmodel("dragon-llama-answer-tool") response = model.inference(query, addcontext=text_sample)

Note: please review **config.json** in the repository for prompt wrapping information, details on the model, and full test set.

Model Description

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• —Developed by: llmware
• —Model type: GGUF
• —Language(s) (NLP): English
• —License: Llama 2 Community License
• —Quantized from model: llmware/dragon-llama

Model Card Contact

Darren Oberst & llmware team