DRAGON Models
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Production-grade RAG-optimized 6-7B parameter models - "Delivering RAG on ..." the leading foundation base models • 23 items • Updated • 45
Model Card for Model ID
dragon-mistral-answer-tool is a quantized version of DRAGON Mistral 7B, with 4_K_M GGUF quantization, providing a fast, small inference implementation for use on CPUs.
dragon-mistral-7b is a fact-based question-answering model, optimized for complex business documents.
To pull the model via API:
from huggingface_hub import snapshot_download
snapshot_download("llmware/dragon-mistral-answer-tool", 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-mistral-answer-tool")
response = model.inference(query, add_context=text_sample)
Note: please review config.json in the repository for prompt wrapping information, details on the model, and full test set.
Model Description
- Developed by: llmware
- Model type: GGUF
- Language(s) (NLP): English
- License: Apache 2.0
- Quantized from model: llmware/dragon-mistral
Model Card Contact
Darren Oberst & llmware team
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