Reflection Llama-3.1 70B
| Property | Value |
|---|---|
| Parameter Count | 70.6B |
| Model Type | Text Generation |
| Architecture | Llama 3.1 |
| License | llama3.1 |
| Tensor Type | FP16 |
What is ref_70_e3?
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 reasoning mistakes in real-time. Built upon Meta's Llama-3.1 70B Instruct model, this implementation incorporates special tokens for reasoning and reflection, creating a more transparent and accurate thought process.
Implementation Details
The model utilizes the standard Llama 3.1 chat format while introducing specialized tokens for reasoning (
- Trained on synthetic data generated by Glaive
- Implements FP16 precision for efficient computation
- Uses standard Llama 3.1 chat template format
- Recommended sampling parameters: temperature=0.7, top_p=0.95
Core Capabilities
- Complex reasoning with self-reflection abilities
- Real-time error detection and correction
- Structured output format with separate reasoning and response sections
- 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 applications requiring complex reasoning, decision-making, and situations where transparency in the thinking process is valuable. It excels in conversational tasks where accuracy and self-correction are crucial.
