ultravox-v0_3-llama-3_2-1b
| Property | Value |
|---|---|
| Parameter Count | 29.4M |
| Tensor Type | BF16 |
| Downloads | 451 |
| Research Paper | View Paper |
What is ultravox-v0_3-llama-3_2-1b?
ultravox-v0_3-llama-3_2-1b is a compact transformer-based model built on the LLaMA architecture, specifically designed for feature extraction tasks. With its efficient 29.4M parameter size and BF16 precision, it offers a lightweight solution for transformer-based applications.
Implementation Details
The model leverages the transformers library and implements custom code for enhanced functionality. It utilizes BF16 tensor types for optimal performance and memory efficiency, making it particularly suitable for deployment in resource-conscious environments.
- Built on transformers framework
- Optimized with BF16 precision
- Compact 29.4M parameter footprint
- Custom code implementation for feature extraction
Core Capabilities
- Specialized feature extraction processing
- Efficient transformer-based operations
- Optimized memory usage with BF16 precision
- Integration with HuggingFace transformers ecosystem
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its lightweight architecture combined with BF16 precision, offering efficient feature extraction capabilities while maintaining a small parameter footprint.
Q: What are the recommended use cases?
This model is particularly well-suited for feature extraction tasks where computational efficiency is crucial, especially in applications requiring transformer-based processing with limited resources.
