jeffwan/llama-7b-hf
The jeffwan/llama-7b-hf model is a 7 billion parameter LLaMA model, converted for compatibility with Hugging Face's Transformers library. This model is primarily intended for research purposes, offering a foundational LLaMA architecture for experimentation and development. It operates under a non-commercial bespoke license, making it suitable for academic and non-profit research applications.
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jeffwan/llama-7b-hf: A LLaMA Model for Research
This repository hosts a 7 billion parameter LLaMA model, specifically converted to be compatible with the Hugging Face Transformers library. The primary intent behind this release is to facilitate research purposes, providing a readily accessible LLaMA architecture for developers and researchers.
Key Characteristics
- Model Family: LLaMA
- Parameter Count: 7 billion parameters
- Hugging Face Compatibility: Converted for seamless integration with the Transformers library.
- License: Operates under a non-commercial bespoke license, as detailed in the accompanying LICENSE file. Users should review this license for specific usage restrictions.
Intended Use
This model is explicitly designated for research applications. Its availability through Hugging Face allows researchers to leverage the LLaMA architecture within a widely adopted framework, enabling further exploration and development in the field of large language models. Users are advised to adhere strictly to the non-commercial licensing terms.