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license: other
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
**dragon-yi-answer-tool** is a quantized version of DRAGON Yi 6B, with 4_K_M GGUF quantization, providing a fast, small inference implementation for use on CPUs.
[**dragon-yi-6b**](https://huggingface.co/llmware/dragon-yi-6b-v0) 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-yi-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-yi-answer-tool")
response = model.inference(query, add_context=text_sample)
Note: please review [**config.json**](https://huggingface.co/llmware/dragon-yi-answer-tool/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:** Yi Community License
- **Quantized from model:** [llmware/dragon-yi](https://huggingface.co/llmware/dragon-yi-6b-v0/)
## Model Card Contact
Darren Oberst & llmware team |