jiogenes/llama-3.1-8b-r256-gd-qres4
The jiogenes/llama-3.1-8b-r256-gd-qres4 is an 8 billion parameter language model based on the Llama 3.1 architecture. This model is shared on the Hugging Face Hub and its specific differentiators, training details, and primary use cases are not explicitly detailed in its current model card. Further information is needed to determine its unique capabilities or optimizations compared to other LLMs.
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Model Overview
The jiogenes/llama-3.1-8b-r256-gd-qres4 is an 8 billion parameter language model, part of the Llama 3.1 family, hosted on the Hugging Face Hub. As per its current model card, specific details regarding its development, funding, language support, and fine-tuning origins are marked as "More Information Needed."
Key Characteristics
- Architecture: Llama 3.1 base architecture.
- Parameter Count: 8 billion parameters.
- Context Length: 8192 tokens.
Current Limitations and Information Gaps
The model card indicates that comprehensive information regarding its intended uses, direct applications, downstream potential, out-of-scope uses, biases, risks, and limitations is currently unavailable. Details on training data, procedures, hyperparameters, and evaluation metrics are also pending. Users are advised that further recommendations regarding its use cannot be provided without this critical information.
How to Get Started
While specific usage examples are not provided in the model card, it is designed to be used with the Hugging Face transformers library. Developers would typically load and interact with the model using standard transformers API calls once more details on its specific configuration and intended use become available.