Llama-3.1-Tulu-3-8B
| Property | Value |
|---|---|
| Parameter Count | 8.03B |
| License | Llama 3.1 Community License |
| Base Model | Llama-3.1-Tulu-3-8B-DPO |
| Paper | Research Paper |
What is Llama-3.1-Tulu-3-8B?
Llama-3.1-Tulu-3-8B is a state-of-the-art instruction-following language model developed by Allen Institute for AI. Built on the Llama 3.1 architecture, it's specifically designed to excel at diverse tasks including mathematical reasoning, problem-solving, and safe interaction. The model represents a significant advancement in open-source AI, offering comparable performance to larger models while maintaining efficiency at 8B parameters.
Implementation Details
The model implements a sophisticated training approach combining Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reward Learning through Value Representation (RLVR). It utilizes BF16 tensor type and supports various deployment options including VLLM for efficient serving.
- Custom chat template with user/assistant format
- Comprehensive safety training implementation
- Optimized for math and reasoning tasks
- Supports context length up to 8192 tokens
Core Capabilities
- Exceptional performance on GSM8K (87.6% accuracy) and MATH (43.7% accuracy)
- Strong safety metrics (85.5% average across 6 tasks)
- Advanced instruction following capabilities (82.4% on IFEval)
- Robust coding abilities (83.9% pass@10 on HumanEval)
Frequently Asked Questions
Q: What makes this model unique?
The model stands out for its balanced performance across various tasks, particularly excelling in mathematical reasoning and safety aspects while maintaining relatively small parameter count. It's fully open-source with documented training procedures and evaluation metrics.
Q: What are the recommended use cases?
The model is particularly well-suited for mathematical problem-solving, coding tasks, and general instruction following. It's designed for research and educational use, with strong safety considerations built in.
