Llama-4-Maverick-17B-128E-Instruct
| Property | Value |
|---|---|
| Model Size | 17B parameters |
| Developer | Meta |
| Model URL | https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct |
| Type | Instruction-tuned Language Model |
What is Llama-4-Maverick-17B-128E-Instruct?
Llama-4-Maverick-17B-128E-Instruct is Meta's advanced language model, built upon the successful LLaMA architecture. This 17-billion parameter model is specifically optimized for instruction-following tasks, featuring enhanced capabilities through the Maverick architecture and 128-expert configuration.
Implementation Details
The model implements Meta's latest advances in large language model architecture, incorporating 128 experts for improved task specialization and performance. It's designed to process and respond to instructions with high accuracy while maintaining computational efficiency.
- 17B parameter architecture optimized for instruction processing
- 128-expert configuration for specialized task handling
- Built on Meta's proven LLaMA foundation
- Integrated privacy compliance with Meta's policies
Core Capabilities
- Advanced instruction following and task completion
- Enhanced context understanding and processing
- Improved response accuracy through expert specialization
- Efficient resource utilization despite large parameter count
Frequently Asked Questions
Q: What makes this model unique?
The model's 128-expert architecture combined with its instruction-tuned capabilities makes it particularly effective for targeted task completion while maintaining efficiency through expert specialization.
Q: What are the recommended use cases?
This model is well-suited for instruction-based tasks, including complex query processing, content generation, and specialized domain applications requiring precise response generation.
