DeepSeek Math 7B-RL
| Property | Value |
|---|---|
| Parameter Count | 6.91B |
| Tensor Type | BF16 |
| License | DeepSeek License |
| Paper | Research Paper |
What is deepseek-math-7b-rl?
DeepSeek Math 7B-RL is a specialized mathematical reasoning model that has been fine-tuned using reinforcement learning techniques. It's designed to provide step-by-step mathematical problem solving with a unique approach to generating structured mathematical responses.
Implementation Details
The model is built on the transformer architecture and requires specific prompt formatting for optimal performance. It supports both English and Chinese inputs and uses a specialized chat template for interaction.
- Built using PyTorch framework
- Implements safetensors for efficient parameter storage
- Supports text-generation-inference endpoints
- Requires chain-of-thought prompting for best results
Core Capabilities
- Step-by-step mathematical reasoning
- Support for both English and Chinese mathematical problems
- Structured output formatting with \boxed{} notation
- Integration with common ML frameworks
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its specialized mathematical reasoning capabilities enhanced through reinforcement learning, combined with its requirement for chain-of-thought prompting to generate step-by-step solutions.
Q: What are the recommended use cases?
The model is ideal for mathematical problem-solving scenarios requiring detailed step-by-step solutions, particularly in educational contexts or applications needing structured mathematical reasoning.
