Skywork-o1-Open-Llama-3.1-8B
| Property | Value |
|---|---|
| Parameter Count | 8.03B parameters |
| Model Type | Text Generation |
| Architecture | LLaMA-based |
| License | Skywork Community License |
| Tensor Type | BF16 |
What is Skywork-o1-Open-Llama-3.1-8B?
Skywork-o1-Open-Llama-3.1-8B is an advanced language model developed by the Skywork team at Kunlun Inc. It's built on the Llama-3.1-8B architecture and has been specifically enhanced with "o1-style" data to improve its reasoning capabilities. The model specializes in slow thinking and methodical problem-solving approaches, particularly excelling in mathematical, coding, and logical reasoning tasks.
Implementation Details
The model implements a sophisticated three-stage training scheme: Reflective Reasoning Training using a proprietary multi-agent system, Reinforcement Learning with a Process Reward Model (PRM), and Reasoning Planning using Tiangong's Q* online reasoning algorithm. This comprehensive approach enables the model to perform complex reasoning tasks with enhanced accuracy and reliability.
- Built on Meta's Llama-3.1-8B architecture
- Implements proprietary Q* algorithm for online reasoning
- Features advanced self-reflection and verification capabilities
- Supports both Chinese and English language processing
Core Capabilities
- Enhanced mathematical problem solving with step-by-step reasoning
- Advanced coding task completion with detailed explanations
- Logical reasoning and problem decomposition
- Multi-language support for complex problem-solving
- Self-verification and reflection mechanisms
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its implementation of o1-like slow thinking capabilities, combined with a three-stage training scheme that includes proprietary reasoning algorithms. This enables more thorough and accurate problem-solving compared to traditional language models.
Q: What are the recommended use cases?
The model is particularly well-suited for mathematical problem solving, coding tasks, logical reasoning, and educational applications where step-by-step thinking and detailed explanations are valuable. It can handle both Chinese and English inputs effectively.
