jiogenes/llama-3.1-8b-r256-svd-qres4
The jiogenes/llama-3.1-8b-r256-svd-qres4 is an 8 billion parameter language model based on the Llama 3.1 architecture. This model is a Hugging Face Transformers model, automatically generated and pushed to the Hub. Further specific details regarding its development, training, and unique differentiators are not provided in the available model card.
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Model Overview
This model, jiogenes/llama-3.1-8b-r256-svd-qres4, is an 8 billion parameter language model built upon the Llama 3.1 architecture. It is presented as a Hugging Face Transformers model, with its model card automatically generated upon being pushed to the Hub.
Key Characteristics
- Architecture: Llama 3.1 base.
- Parameter Count: 8 billion parameters.
- Context Length: 8192 tokens.
- Model Type: Causal language model (inferred from Llama architecture).
Limitations and Further Information
As per the provided model card, specific details regarding the model's development, funding, training data, training procedure, evaluation results, and intended use cases are currently marked as "More Information Needed." Therefore, a comprehensive understanding of its unique capabilities, performance benchmarks, and optimal applications is not available at this time. Users are advised to await further updates to the model card for detailed insights into its specific strengths, potential biases, risks, and recommended uses.