giovannidemuri/llama3b-llama8b-er-v104-jb-seed2-seed2-openmath-25k
The giovannidemuri/llama3b-llama8b-er-v104-jb-seed2-seed2-openmath-25k model is a 3.2 billion parameter language model developed by giovannidemuri. This model is part of the Llama family, featuring a context length of 32768 tokens. While specific differentiators are not detailed in the provided information, its architecture and parameter count suggest it is designed for general language understanding and generation tasks. Further details on its unique capabilities or fine-tuning are not available.
Loading preview...
Model Overview
This model, giovannidemuri/llama3b-llama8b-er-v104-jb-seed2-seed2-openmath-25k, is a 3.2 billion parameter language model. It is based on the Llama architecture and supports a substantial context length of 32768 tokens, indicating its potential for processing and generating longer sequences of text.
Key Characteristics
- Parameter Count: 3.2 billion parameters.
- Context Length: 32768 tokens, allowing for extensive input and output sequences.
- Architecture: Llama-based, suggesting a strong foundation in general language modeling.
Training and Evaluation
Detailed information regarding the model's training data, procedure, hyperparameters, and evaluation results is currently marked as "More Information Needed" in the provided model card. This includes specifics on the training regime, preprocessing steps, and performance metrics.
Usage and Limitations
As per the model card, specific direct and downstream use cases are not yet defined. Users should be aware that the model's biases, risks, and limitations are also awaiting further information. Recommendations emphasize that users should be informed of these aspects once they become available.