jiogenes/llama-3.1-8b-r2048-gd-random-qres4
The jiogenes/llama-3.1-8b-r2048-gd-random-qres4 model is an 8 billion parameter language model based on the Llama 3.1 architecture, featuring an 8192 token context length. This model is a Hugging Face Transformers model, automatically pushed to the Hub. Its specific differentiators, training details, and primary use cases require more information to be provided in its model card.
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Model Overview
This model, jiogenes/llama-3.1-8b-r2048-gd-random-qres4, is an 8 billion parameter language model built upon the Llama 3.1 architecture, supporting an 8192 token context length. It is a Hugging Face Transformers model, automatically generated and pushed to the Hub. As per its current model card, specific details regarding its development, funding, language support, license, and fine-tuning origins are currently marked as "More Information Needed."
Key Characteristics
- Model Type: Llama 3.1-based architecture
- Parameter Count: 8 billion parameters
- Context Length: 8192 tokens
- Platform: Hugging Face Transformers model
Current Status and Limitations
The model card indicates that comprehensive information regarding its intended uses, direct applications, downstream potential, and out-of-scope uses is yet to be provided. Similarly, details on bias, risks, limitations, training data, training procedures, evaluation metrics, and environmental impact are pending. Users are advised that more information is needed to make informed decisions regarding its application and to understand its full capabilities and constraints.