Llama-3.1-Tulu-3-8B-GGUF
| Property | Value |
|---|---|
| Parameter Count | 8.03B |
| License | Llama 3.1 Community License |
| Format | GGUF (Optimized) |
| Language | English |
What is Llama-3.1-Tulu-3-8B-GGUF?
Llama-3.1-Tulu-3-8B-GGUF is a quantized version of the original Tulu 3 model, optimized for efficient deployment while maintaining impressive performance. This model represents a significant advancement in open-source language models, particularly excelling in instruction following, mathematical reasoning, and general task completion.
Implementation Details
The model utilizes the GGUF format for optimization and is built upon the Llama 3.1 architecture. It implements a sophisticated chat template and can be easily integrated using popular frameworks like Hugging Face Transformers and VLLM.
- Supports context length up to 8192 tokens
- Implements standardized chat formatting with user/assistant markers
- Optimized through quantization for efficient deployment
- Compatible with major ML frameworks
Core Capabilities
- Strong performance on MMLU (68.2% accuracy)
- Exceptional math reasoning (87.6% on GSM8K)
- High safety metrics (85.5% average across 6 tasks)
- Robust instruction following (82.4% on IFEval)
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its balanced performance across various tasks while being optimized for efficient deployment through GGUF quantization. It particularly excels in mathematical reasoning and instruction following, making it suitable for both general and specialized applications.
Q: What are the recommended use cases?
The model is well-suited for: mathematical problem-solving, instruction-following tasks, general conversational AI applications, and technical coding tasks. It's particularly effective for deployments requiring efficient resource usage while maintaining high performance.
