jiogenes/llama-3.1-8b-r128-gd-random
The jiogenes/llama-3.1-8b-r128-gd-random model is an 8 billion parameter language model. This model is based on the Llama 3.1 architecture. Further specific details regarding its training, unique differentiators, and primary use cases are not provided in the available model card.
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Model Overview
The jiogenes/llama-3.1-8b-r128-gd-random is an 8 billion parameter language model built upon the Llama 3.1 architecture. The provided model card indicates that it is a Hugging Face transformers model, automatically pushed to the Hub.
Key Characteristics
- Model Type: Llama 3.1-based language model.
- Parameters: 8 billion.
- Context Length: 8192 tokens.
Limitations and Recommendations
The model card explicitly states that more information is needed regarding its development, funding, specific language support, license, and finetuning details. Consequently, direct use cases, downstream applications, and out-of-scope uses are not defined. Users are advised to be aware of potential risks, biases, and limitations, as detailed information is currently unavailable. Further recommendations are pending more comprehensive model documentation.