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license: apache-2.0 |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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**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. |
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[**dragon-mistral-7b**](https://huggingface.co/llmware/dragon-mistral-7b-v0) is a fact-based question-answering model, optimized for complex business documents. |
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To pull the model via API: |
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from huggingface_hub import snapshot_download |
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snapshot_download("llmware/dragon-mistral-answer-tool", local_dir="/path/on/your/machine/", local_dir_use_symlinks=False) |
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Load in your favorite GGUF inference engine, or try with llmware as follows: |
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from llmware.models import ModelCatalog |
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model = ModelCatalog().load_model("dragon-mistral-answer-tool") |
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response = model.inference(query, add_context=text_sample) |
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Note: please review [**config.json**](https://huggingface.co/llmware/dragon-mistral-answer-tool/blob/main/config.json) in the repository for prompt wrapping information, details on the model, and full test set. |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** llmware |
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- **Model type:** GGUF |
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- **Language(s) (NLP):** English |
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- **License:** Apache 2.0 |
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- **Quantized from model:** [llmware/dragon-mistral](https://huggingface.co/llmware/dragon-mistral-7b-v0/) |
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## Model Card Contact |
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Darren Oberst & llmware team |
