Reflection-Llama-3.1-70B-GGUF
| Property | Value |
|---|---|
| Parameter Count | 70.6B |
| License | Llama 3.1 |
| Base Model | mattshumer/Reflection-Llama-3.1-70B |
| Quantization Options | Multiple (Q8_0 to IQ2_S) |
What is Reflection-Llama-3.1-70B-GGUF?
Reflection-Llama-3.1-70B-GGUF is a sophisticated quantized version of the Llama 3.1 70B model, specifically optimized for enhanced reasoning and reflection capabilities. This model stands out for its implementation of special thought process tokens and multiple quantization options to balance performance with hardware requirements.
Implementation Details
The model uses imatrix quantization with various compression levels, ranging from the high-quality Q8_0 (74.98GB) to the compact IQ2_S (22.24GB). It features a unique prompt format that incorporates thinking, output, and reflection tags for structured reasoning.
- Special tokens for thought process visualization
- Multiple quantization options optimized for different hardware configurations
- Support for cuBLAS, rocBLAS, and CPU inference
- Specialized embed/output weight handling in certain quantizations
Core Capabilities
- Complex reasoning with structured thought processes
- Self-reflection and error correction
- Flexible deployment options across different hardware configurations
- Optimized performance through various quantization methods
Frequently Asked Questions
Q: What makes this model unique?
The model's primary distinction lies in its structured reasoning approach using special tokens for thinking, output, and reflection, combined with multiple quantization options to suit different hardware capabilities while maintaining performance.
Q: What are the recommended use cases?
The model is ideal for applications requiring complex reasoning, self-reflection, and structured thought processes. Users can choose from multiple quantization options based on their hardware constraints, with recommendations ranging from Q6_K_L for highest quality to IQ4_XS for balanced performance.
