AreebAhmxd/pharma-tinyllama-1.1b-instruction-model
AreebAhmxd/pharma-tinyllama-1.1b-instruction-model is a 1.1 billion parameter instruction-tuned language model with a 2048 token context length. Developed by AreebAhmxd, this model is designed for general language understanding and generation tasks. Its compact size makes it suitable for applications requiring efficient deployment and lower computational resources. Further details on its specific training and intended use cases are not provided in the available documentation.
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Model Overview
This model, AreebAhmxd/pharma-tinyllama-1.1b-instruction-model, is a 1.1 billion parameter instruction-tuned language model. It features a context length of 2048 tokens, making it a compact option for various natural language processing tasks. The model was developed by AreebAhmxd.
Key Characteristics
- Parameter Count: 1.1 billion parameters, indicating a relatively small model size suitable for efficient inference.
- Context Length: Supports a context window of 2048 tokens.
- Instruction-Tuned: Designed to follow instructions for generating responses.
Limitations and Further Information
The provided model card indicates that significant details regarding its development, training data, specific language support, licensing, and evaluation results are currently marked as "More Information Needed." Users should be aware that without this information, the model's biases, risks, and optimal use cases are not fully documented. Recommendations for use are pending further details from the developer.