LLaMA 2 7B GTL Delta is an open-source language model by microsoft. Features: 7b LLM, VRAM: 27.1GB, Context: 2K, License: mit, LLM Explorer Score: 0.15.
language model, transfer learning, in-context learning
Use Cases
Areas:
industry sectors
Primary Use Cases:
classification, regression
Limitations:
The model may produce biased predictions due to data representation limitations., There is potential for misinterpretation of predictions and inappropriate decision-making based on them.
Considerations:
A clear understanding of context and domain expertise is recommended before making decisions based on the model's predictions.
Responsible Ai Considerations
Fairness:
Data Bias: The model is trained on data that is not representative of the full range of industrial scenarios, and it may produce biased predictions.
Transparency:
Developers should follow transparency best practices and inform end-users they are interacting with an AI system.
Accountability:
Developers should apply responsible AI best practices and ensure compliance with laws and regulations.
Mitigation Strategies:
Implement additional debiasing techniques and feedback mechanisms for grounding responses in specific, contextual information.
Input Output
Input Format:
Language format data samples with context and specific task instructions or questions.
Accepted Modalities:
text
Output Format:
Predictive answers suitable for classification and regression tasks.
Note: green Score (e.g. "73.2") means that the model is better than microsoft/LLaMA-2-7b-GTL-Delta.
Rank the LLaMA 2 7B GTL Delta 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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