SciPhi-Mistral-7B-32k
| Property | Value |
|---|---|
| Base Model | Mistral-7B-v0.1 |
| License | MIT |
| Context Length | 32,000 tokens |
| Training Data | 1B+ tokens |
| Papers | Orca Paper, Flan Collection Paper |
What is SciPhi-Mistral-7B-32k?
SciPhi-Mistral-7B-32k is an advanced language model fine-tuned from Mistral-7B-v0.1, specifically designed to enhance scientific reasoning and educational capabilities. The model underwent intensive training over four epochs using more than 1 billion tokens, incorporating both instruction tuning data and synthetic textbooks.
Implementation Details
Built on the Mistral architecture, this model incorporates several sophisticated technical features that enhance its performance and capabilities.
- Transformer-based architecture with Grouped-Query Attention
- Sliding-Window Attention mechanism for improved context handling
- Byte-fallback BPE tokenizer for robust text processing
- Extended context window of 32k tokens
Core Capabilities
- Enhanced scientific reasoning and analysis
- Educational content generation and explanation
- Extended context processing with 32k token window
- Compatible with Alpaca prompting guidelines
- Available through free hosted API (SciPhi-Self-RAG-Mistral-7B-32k variant)
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its specialized training focusing on scientific reasoning and educational applications, combined with an extended 32k context window and sophisticated attention mechanisms.
Q: What are the recommended use cases?
This model is particularly well-suited for scientific content generation, educational tutoring, research analysis, and any applications requiring extended context understanding in technical or academic domains.
