giovannidemuri/llama3b-llama8b-er-v112-jb-seed2-seed2-code-alpaca
The giovannidemuri/llama3b-llama8b-er-v112-jb-seed2-seed2-code-alpaca model is a 3.2 billion parameter language model with a 32768 token context length. Developed by giovannidemuri, this model is part of the Llama family, though specific architectural details and training data are not provided in its current model card. Its primary differentiators and intended use cases are not explicitly detailed, suggesting it may be a base or experimental model requiring further fine-tuning or evaluation for specific applications.
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Model Overview
The giovannidemuri/llama3b-llama8b-er-v112-jb-seed2-seed2-code-alpaca is a language model with 3.2 billion parameters and a substantial 32768 token context length. Developed by giovannidemuri, this model's card indicates it is a Hugging Face Transformers model, though specific details regarding its architecture, training data, and fine-tuning origins are marked as "More Information Needed."
Key Characteristics
- Parameter Count: 3.2 billion parameters.
- Context Length: Supports a long context window of 32768 tokens.
- Developer: giovannidemuri.
- Model Type: A general language model, with specific applications and optimizations not yet detailed.
Intended Use and Limitations
Due to the lack of detailed information in the model card, the direct and downstream uses, as well as specific biases, risks, and limitations, are currently unspecified. Users are advised that further information is needed to make informed decisions regarding its application. Recommendations emphasize that users should be aware of potential risks and limitations, which are yet to be fully documented.
Training and Evaluation
The model card currently lacks specifics on training data, hyperparameters, and evaluation results. This suggests it may be an early release or a foundational model awaiting further development and documentation.