Meta-Llama-3-8B
| Property | Value |
|---|---|
| Parameter Count | 8.03B |
| Context Length | 8k tokens |
| Architecture | Transformer with GQA |
| License | Llama3 License |
| Training Tokens | 15T+ |
What is Meta-Llama-3-8B?
Meta-Llama-3-8B is part of Meta's latest generation of large language models, representing a significant advancement in open-source AI technology. This 8 billion parameter model features enhanced capabilities through an optimized transformer architecture with Grouped-Query Attention (GQA), trained on over 15 trillion tokens of data with a knowledge cutoff of March 2023.
Implementation Details
The model utilizes BF16 precision and incorporates several technical innovations for improved performance. It can be easily implemented using both the Transformers library and the original llama3 codebase, making it versatile for different deployment scenarios.
- 8k token context window for handling longer sequences
- Optimized inference through GQA architecture
- Comprehensive pre-training on diverse public data
- Support for both transformers and native llama3 implementations
Core Capabilities
- Strong performance on MMLU (66.6% accuracy)
- Impressive results on reasoning tasks like GSM-8K
- Enhanced coding capabilities (62.2% on HumanEval)
- Robust reading comprehension abilities
Frequently Asked Questions
Q: What makes this model unique?
This model represents a significant improvement over previous generations, with particular strengths in reasoning and coding tasks. It achieves notably better performance than Llama 2 models of similar size while maintaining efficient inference through GQA implementation.
Q: What are the recommended use cases?
The model is primarily designed for commercial and research use in English, excelling in assistant-like chat applications, coding tasks, and general natural language processing applications. It's particularly well-suited for developers looking to build responsible AI applications with strong safety considerations.
