SILMA 9B Instruct V1.0 is an open-source language model by silma-ai. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, Instruction-Based, LLM Explorer Score: 0.25.
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:
text
Output Format:
Generated Arabic or English text in response.
Release Notes
Version:
SILMA-9B-Instruct-v1.0
Notes:
Initial model release with open-weight access for deployment across various use-cases
Note: green Score (e.g. "73.2") means that the model is better than silma-ai/SILMA-9B-Instruct-v1.0.
Rank the SILMA 9B Instruct V1.0 Capabilities
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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation
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