Model Type | text generation, conversational |
|
Use Cases |
Areas: | Content Creation and Communication, Research and Education |
|
Applications: | Text Generation, Chatbots and Conversational AI, Text Summarization |
|
|
Additional Notes | The model can be run up to 6x faster using torch compile features. |
|
Supported Languages | Arabic (native), English (native) |
|
Responsible Ai Considerations |
Fairness: | LLMs trained on large-scale, real-world text data can reflect socio-cultural biases embedded in the training material. |
|
Transparency: | This model card summarizes details on the models' architecture, capabilities, limitations, and evaluation processes. |
|
Accountability: | Guidelines are provided for responsible use with the model. |
|
Mitigation Strategies: | Mechanisms and guidelines for content safety are essential. Developers are encouraged to exercise caution and implement appropriate content safety safeguards. |
|
|
Input Output |
Input Format: | Text string, such as a question, a prompt, or a document to be summarized. |
|
Accepted Modalities: | |
Output Format: | Generated Arabic or English text in response. |
|
|
Release Notes |
Version: | |
Notes: | Initial model release with open-weight access for deployment across various use-cases |
|
|
|