Reflection-Llama-3.1-70B
| Property | Value |
|---|---|
| Parameter Count | 70.6B |
| License | Llama 3.1 |
| Base Model | Meta-Llama-3.1-70B-Instruct |
| Tensor Type | F32 |
What is Reflection-Llama-3.1-70B?
Reflection-Llama-3.1-70B represents a significant advancement in language model technology, introducing a novel Reflection-Tuning technique that enables the model to identify and correct its own reasoning mistakes. Built upon Meta's Llama 3.1 70B Instruct model, it was trained using synthetic data generated by Glaive to enhance its self-correction capabilities.
Implementation Details
The model implements a unique system of special tokens for reasoning and reflection, utilizing <thinking>, <output>, and <reflection> tags to separate internal reasoning from final responses. It follows the standard Llama 3.1 chat template format while incorporating these additional reasoning capabilities.
- Employs special token-based reasoning structure
- Recommended temperature of 0.7 and top_p of 0.95
- Uses standard Llama 3.1 chat format
- Trained with synthetic data from Glaive
Core Capabilities
- Self-reflection and error correction during reasoning
- Structured output with separated thinking and response sections
- Complex reasoning with internal thought processes
- Compatible with existing Llama model pipelines
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its Reflection-Tuning capability, allowing it to detect and correct reasoning mistakes during the generation process. This is implemented through a specialized token system that separates internal reasoning from final outputs.
Q: What are the recommended use cases?
The model is particularly well-suited for tasks requiring complex reasoning, decision-making, and situations where transparency in the thinking process is valuable. It can be enhanced by appending "Think carefully." to prompts for increased accuracy.
