ik-ram28/gemma-3-4b-opt3-with-gt
The ik-ram28/gemma-3-4b-opt3-with-gt model is a 4.3 billion parameter language model based on the Gemma architecture. This model has a context length of 32768 tokens. Specific differentiators and primary use cases are not detailed in the provided model card, which indicates that further information is needed regarding its development, training, and intended applications.
Loading preview...
Overview
The ik-ram28/gemma-3-4b-opt3-with-gt is a 4.3 billion parameter model, part of the Gemma family, with a substantial context length of 32768 tokens. The provided model card indicates that this is a Hugging Face Transformers model, but it currently lacks detailed information regarding its specific development, training, and intended applications.
Key Characteristics
- Model Size: 4.3 billion parameters.
- Context Length: Supports a large context window of 32768 tokens.
- Base Architecture: Built upon the Gemma model architecture.
Information Needed
Currently, the model card states that "More Information Needed" for several critical sections, including:
- Developed by: The specific developer or organization behind this iteration.
- Model Type: Detailed classification of the model's specific type or fine-tuning.
- Language(s): The languages it is proficient in.
- License: The licensing terms for its use.
- Finetuned from model: The base model it was fine-tuned from, if applicable.
- Training Details: Information on training data, procedures, and hyperparameters.
- Evaluation: Performance metrics, testing data, and results.
- Use Cases: Direct and downstream applications, as well as out-of-scope uses.
Recommendations
Users should be aware of the current lack of detailed information regarding this model's specific capabilities, biases, risks, and limitations. It is recommended to await further updates to the model card for comprehensive guidance on its appropriate use and performance characteristics.