wxjiao/llama-7b
The wxjiao/llama-7b model is a 7 billion parameter LLaMA architecture model, originally developed by Facebook AI Research, converted for compatibility with the Hugging Face Transformers library. This model is primarily intended for research purposes, offering a foundational large language model for experimentation and study within the LLaMA family.
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Model Overview
The wxjiao/llama-7b is a 7 billion parameter language model based on the original LLaMA architecture developed by Facebook AI Research. This specific version has been converted to be compatible with the Hugging Face Transformers library, making it accessible for researchers and developers within that ecosystem.
Key Characteristics
- Architecture: LLaMA (Large Language Model Meta AI)
- Parameter Count: 7 billion parameters
- Context Length: 4096 tokens
- Framework Compatibility: Converted for use with Hugging Face Transformers.
Intended Use
This model is explicitly designated for research use only. It provides a base LLaMA-7b model for:
- Experimentation with the LLaMA architecture.
- Developing and testing new fine-tuning techniques.
- Academic studies on large language model behavior and capabilities.
- Exploring the performance characteristics of a 7B LLaMA model within the Hugging Face environment.