jiogenes/llama-3.1-8b-r1536-gd-random
The jiogenes/llama-3.1-8b-r1536-gd-random model is an 8 billion parameter language model based on the Llama 3.1 architecture. This model is a fine-tuned variant, though specific details on its training and differentiation are not provided in the available documentation. It is intended for general language generation tasks where a Llama 3.1 base model of this size would be applicable.
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Overview
This model, jiogenes/llama-3.1-8b-r1536-gd-random, is an 8 billion parameter language model built upon the Llama 3.1 architecture. The available model card indicates it is a Hugging Face Transformers model, automatically generated and pushed to the Hub. However, specific details regarding its development, funding, training data, or fine-tuning objectives are marked as "More Information Needed" in the provided documentation.
Key Characteristics
- Architecture: Llama 3.1 base
- Parameter Count: 8 billion parameters
- Context Length: 8192 tokens
Intended Use Cases
Due to the lack of specific information in the model card, the intended direct and downstream uses are not explicitly defined. Users should consider this model for general language tasks typically handled by Llama 3.1 models of similar scale, such as text generation, summarization, or question answering, while being aware of the absence of detailed performance or training data specifics.
Limitations and Risks
The model card explicitly states that information regarding bias, risks, and limitations is needed. Users are advised to be aware of potential risks and biases inherent in large language models and to conduct their own evaluations for specific applications. Recommendations for responsible use are pending more detailed model information.