llama3.2_3B_vl
| Property | Value |
|---|---|
| Author | thkim0305 |
| Model Size | 3B parameters |
| Platform | Hugging Face Hub |
| Model URL | View Model |
What is llama3.2_3B_vl?
llama3.2_3B_vl is a variant of the LLaMA architecture featuring 3 billion parameters. This model represents an implementation by researcher thkim0305, though specific details about its training and capabilities are currently limited in the public documentation.
Implementation Details
The model is built on the LLaMA architecture, which is known for its efficient scaling and strong performance across various natural language processing tasks. While specific architectural modifications and training procedures are not detailed in the available documentation, the model maintains the general characteristics of LLaMA-based systems.
- Built on LLaMA architecture
- 3 billion parameter scale
- Hosted on Hugging Face for easy access and implementation
Core Capabilities
- General language understanding and generation
- Integration with the Hugging Face Transformers library
- Potential for fine-tuning on specific tasks
Frequently Asked Questions
Q: What makes this model unique?
This model represents a medium-scale implementation of the LLaMA architecture at 3B parameters, offering a balance between computational efficiency and capability.
Q: What are the recommended use cases?
While specific use cases are not detailed in the documentation, LLaMA-based models of this scale are typically suitable for general language understanding tasks, text generation, and potential fine-tuning for specialized applications.
