dragon-mistral-7b-v0
| Property | Value |
|---|---|
| Base Model | Mistral-7B |
| License | Apache 2.0 |
| Language | English |
| Developer | llmware |
| Model URL | https://huggingface.co/llmware/dragon-mistral-7b-v0 |
What is dragon-mistral-7b-v0?
dragon-mistral-7b-v0 is a specialized RAG (Retrieval-Augmented Generation) model built on the Mistral-7B architecture. It's part of the dRAGon series, specifically designed for enterprise automation in knowledge-intensive industries. The model excels at fact-based question-answering over complex business and legal documents, with a strong focus on reducing hallucinations and providing concise, accurate responses.
Implementation Details
The model implements a simple "
- Optimized for document QA with 81.25% accuracy on Math/Logic tasks
- Complex question handling rated 4/5 (Medium-High)
- Summarization quality rated 4/5 with coherent, extractive capabilities
- Zero hallucinations observed in test runs
Core Capabilities
- Question-answering over complex documents
- Key-value extraction from business content
- Basic summarization with high accuracy
- Table-reading and multiple-choice handling
- Causal reasoning in business contexts
Frequently Asked Questions
Q: What makes this model unique?
The model's primary strength lies in its specialized training for RAG workflows in business and legal contexts, with exceptional accuracy and near-zero hallucination rates. It's specifically optimized for enterprise automation use cases in financial services, legal, and regulatory industries.
Q: What are the recommended use cases?
The model excels in enterprise document processing scenarios, particularly for: 1) Complex document question-answering, 2) Fact extraction from business documents, 3) Regulatory compliance analysis, 4) Legal document processing, and 5) Financial document analysis with high accuracy requirements.
