Genstruct-7B
| Property | Value |
|---|---|
| Parameter Count | 7.24B |
| Base Model | Mistral-7B-v0.1 |
| License | Apache 2.0 |
| Paper | Ada-Instruct Paper |
| Tensor Type | BF16 |
What is Genstruct-7B?
Genstruct-7B is an innovative instruction-generation model that builds upon the Mistral-7B architecture to create high-quality synthetic training data. Inspired by Ada-Instruct, it takes the unique approach of grounding generations in user-provided context passages, enabling the creation of complex, reasoning-based instructions from raw text.
Implementation Details
Built on the Mistral-7B foundation model, Genstruct-7B employs advanced techniques to generate instruction-response pairs. The model uses transformers architecture and operates with BF16 precision, making it both efficient and powerful for instruction generation tasks.
- Context-aware instruction generation
- Support for complex reasoning scenarios
- Efficient BF16 tensor operations
- Compatible with Hugging Face transformers library
Core Capabilities
- Generation of grounded instructions from raw text
- Creation of complex reasoning scenarios
- Production of detailed step-by-step reasoning
- Support for synthetic dataset creation
Frequently Asked Questions
Q: What makes this model unique?
Genstruct-7B stands out for its ability to generate instructions grounded in specific context passages, unlike previous methods that rely primarily on in-context approaches. It's specifically designed to create complex scenarios that require detailed reasoning.
Q: What are the recommended use cases?
The model is ideal for creating synthetic instruction datasets from raw text corpora, particularly when detailed reasoning and complex scenario generation are required. It's especially useful for researchers and developers looking to create high-quality training data for other language models.
