Hugging Face Model Overview
The josoa-test/fine-tuned-llama-3.2-3binstruct-v01 is an instruction-tuned language model with 3.2 billion parameters and a substantial context length of 32768 tokens. This model is a fine-tuned version, indicating it has undergone further training on specific datasets to enhance its ability to follow instructions and perform particular tasks. The base architecture is likely Llama, given the naming convention.
Key Characteristics
- Parameter Count: 3.2 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: A large 32768-token context window, enabling the model to process and understand extensive inputs and generate coherent, long-form responses.
- Instruction-Tuned: Designed to excel at understanding and executing user instructions, making it suitable for various interactive AI applications.
Limitations and Further Information
The provided model card indicates that specific details regarding its development, training data, evaluation results, and intended use cases are currently marked as "More Information Needed." Users should be aware that without these details, the model's precise capabilities, potential biases, and optimal applications are not fully documented. Further information is required to assess its performance against benchmarks or its suitability for specific downstream tasks.