Llama-3.1-Tulu-3-70B
| Property | Value |
|---|---|
| Parameter Count | 70.6B |
| License | Llama 3.1 Community License |
| Base Model | Llama-3.1-Tulu-3-70B-DPO |
| Paper | Research Paper |
| Tensor Type | BF16 |
What is Llama-3.1-Tulu-3-70B?
Llama-3.1-Tulu-3-70B is a state-of-the-art language model developed by Allen Institute for AI, built upon the Llama 3.1 architecture. It represents a significant advancement in instruction-following models, specifically designed to excel at diverse tasks ranging from mathematical reasoning to general conversation. The model has undergone extensive training using a combination of publicly available, synthetic, and human-created datasets.
Implementation Details
The model implements a sophisticated training pipeline including Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and RLVR (Reinforcement Learning with Value Rating). It uses a specialized chat template and can be easily deployed using popular frameworks like HuggingFace Transformers and VLLM.
- Utilizes BF16 precision for optimal performance and memory usage
- Implements advanced PPO settings with carefully tuned hyperparameters
- Supports context length up to 8192 tokens
- Features a standardized chat template with user/assistant markers
Core Capabilities
- Outstanding performance on mathematical reasoning (93.5% on GSM8K)
- Strong results in code generation (92.4% pass@10 on HumanEval)
- Excellent safety metrics (88.3% average across 6 safety tasks)
- High accuracy on MMLU (83.1% with zero-shot Chain of Thought)
- Superior performance in instruction following (83.2% on IFEval)
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. It's built with full transparency, offering open-source data, code, and training recipes.
Q: What are the recommended use cases?
The model is particularly well-suited for mathematical problem-solving, code generation, general instruction following, and safe conversational applications. It's designed for research and educational purposes under the Llama 3.1 Community License.
