Llama3-8B-1.58-100B-tokens-GGUF
| Property | Value |
|---|---|
| Parameter Count | 2.8B effective parameters |
| Model Type | Text Generation, Conversational |
| Format | GGUF (optimized) |
| Precision | BF16, U8 |
| Downloads | 1.7M+ |
What is Llama3-8B-1.58-100B-tokens-GGUF?
This is a GGUF-formatted version of the Llama3 8B model, specifically optimized for efficient inference using llama.cpp. The model represents a significant advancement in deploying large language models in resource-conscious environments, featuring 2.8B effective parameters while maintaining the capabilities of larger models.
Implementation Details
The model is built upon the Meta-Llama-3-8B-Instruct architecture and has been converted to the GGUF format for optimal performance with llama.cpp. It supports both BF16 and U8 precision options, allowing for flexible deployment based on hardware capabilities and performance requirements.
- Optimized GGUF format for efficient inference
- Multiple precision options (BF16, U8)
- Compatible with llama.cpp CLI and server implementations
- Supports context window of 2048 tokens
Core Capabilities
- Text generation and completion tasks
- Conversational AI applications
- Efficient inference on various hardware configurations
- Streamlined deployment through llama.cpp
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its efficient implementation in GGUF format, making it particularly suitable for deployment using llama.cpp while maintaining good performance with reduced parameter count.
Q: What are the recommended use cases?
The model is ideal for text generation and conversational applications where efficient deployment and resource utilization are priorities. It's particularly well-suited for scenarios requiring local deployment through llama.cpp.
