jiogenes/llama-3.1-8b-r256-als-random-qres1
The jiogenes/llama-3.1-8b-r256-als-random-qres1 is an 8 billion parameter language model developed by jiogenes. This model is based on the Llama 3.1 architecture and features a context length of 8192 tokens. Specific differentiators, training details, and primary use cases are not provided in the available model card.
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Model Overview
The jiogenes/llama-3.1-8b-r256-als-random-qres1 is an 8 billion parameter language model. It is based on the Llama 3.1 architecture and supports a context length of 8192 tokens. The model card indicates that it is a 🤗 transformers model, automatically pushed to the Hugging Face Hub.
Key Characteristics
- Parameter Count: 8 billion parameters
- Context Length: 8192 tokens
- Base Architecture: Llama 3.1
Limitations and Recommendations
The provided model card is largely incomplete, with most sections marked as "More Information Needed." Consequently, specific details regarding its development, funding, language support, license, fine-tuning, training data, evaluation, biases, risks, and intended uses are not available. Users are advised that more information is needed to make informed decisions about its application and to understand its full capabilities and limitations. Without further details, direct and downstream use cases, as well as out-of-scope uses, remain undefined. Users should be aware of these significant gaps in documentation.