Meta-Llama-3-8B-GGUF
| Property | Value |
|---|---|
| Parameter Count | 8.03B |
| Context Length | 8,000 tokens |
| Training Data | 15T+ tokens |
| License | Custom commercial (llama3) |
| Release Date | April 18, 2024 |
| Knowledge Cutoff | March 2023 |
What is Meta-Llama-3-8B-GGUF?
Meta-Llama-3-8B-GGUF is a GGUF-quantized version of Meta's latest language model family. It represents the 8B parameter variant of the Llama 3 series, featuring an optimized transformer architecture specifically designed for efficient text generation and dialogue tasks. This model is part of Meta's newest generation of LLMs, trained on a diverse mix of publicly available online data.
Implementation Details
The model utilizes Grouped-Query Attention (GQA) for improved inference scalability and features an 8,000-token context window. It's been trained on over 15 trillion tokens and implements state-of-the-art transformer architecture optimizations.
- GGUF quantization for efficient deployment
- Optimized transformer architecture with GQA
- 8,000 token context window
- Static model trained on offline dataset
Core Capabilities
- Text generation and processing
- Code generation capabilities
- Optimized for dialogue applications
- Enhanced safety and helpfulness through careful optimization
Frequently Asked Questions
Q: What makes this model unique?
This model represents Meta's latest advancement in language modeling, featuring improved architecture, extensive training data (15T+ tokens), and optimized performance through GGUF quantization. It's specifically designed to balance performance with efficiency at 8B parameters.
Q: What are the recommended use cases?
The model is well-suited for text generation tasks, dialogue applications, and code generation. It's optimized for conversational use cases while maintaining strong general-purpose capabilities.
