Gemma 1.1 7B It is an open-source language model by google. Features: 7b LLM, VRAM: 17.1GB, Context: 8K, License: gemma, LLM Explorer Score: 0.35, ELO: 1099, Arc: 60.1, HellaSwag: 76.1, MMLU: 60.9, GSM8K: 43.
Gemma 1.1 7B It Benchmarks
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Gemma 1.1 7B It Parameters and Internals
Model Type text-to-text, decoder-only, large language model
Use Cases
Areas: Content Creation and Communication, Research and Education
Applications: Text Generation, Chatbots and Conversational AI, Text Summarization
Primary Use Cases: NLP Research, Language Learning Tools, Knowledge Exploration
Limitations: Factual Accuracy, Common Sense
Considerations: Developers are encouraged to exercise caution and implement appropriate content safety safeguards.
Additional Notes Training hardware and Tensor Processing Units (TPUs) highlighted along with sustainability focus.
Supported Languages English (primary language)
Training Details
Data Sources: Web Documents, Code, Mathematics
Data Volume: Methodology: Hardware Used:
Safety Evaluation
Methodologies: structured evaluations, internal red-teaming
Risk Categories: Text-to-Text Content Safety, Text-to-Text Representational Harms, Memorization, Large-scale harm
Ethical Considerations: Bias and Fairness, Misinformation and Misuse, Transparency and Accountability
Responsible Ai Considerations
Fairness: Models underwent careful scrutiny, input data pre-processing described and posterior evaluations reported.
Transparency: Model card provides architectural, capabilities, limitations, and evaluation details.
Accountability: Google is leading the model development, dissemination, and documenting processes.
Mitigation Strategies: Continuous monitoring, content safety safeguards, developer and end-user education.
Input Output
Input Format: Text string input like a question or document for summarization
Accepted Modalities: Output Format: Generated English-language text
Performance Tips: Longer context generally enhances model performance.
Release Notes
Version: Notes: Improved model interaction, upgraded conversational capabilities, bug fixes.
Rank the Gemma 1.1 7B It 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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