Jais Family 6p7b is an open-source language model by inceptionai. Features: 7.1b LLM, VRAM: 28.5GB, License: proprietary, LLM Explorer Score: 0.16.
Jais Family 6p7b Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jais Family 6p7b Parameters and Internals
Model Type Decoder, causal-lm, text-generation
Use Cases
Areas:
Applications: Chat assistants, Sentiment analysis, Summarization
Primary Use Cases: Arabic NLP research, Development of chat assistants
Limitations: Limited to Arabic and English, Potential for bias and misinformation
Considerations: Proficiency assumed only for targeted languages.
Additional Notes Suitable for Arabic and English NLP. Improved context handling at extended sequence lengths.
Supported Languages Arabic (MSA), English (proficient)
Training Details
Data Sources: Web, Code, Books, Scientific, Synthetic
Data Volume: up to 1.6 Trillion tokens
Methodology: Instruction fine-tuned, progressive context expansion
Context Length:
Hardware Used: Condor Galaxy supercomputer, 64 Cerebras CS-2 Wafer-Scale Engines (WSE-2), 960 PetaFLOP/s
Model Architecture: Transformer-based, decoder-only (GPT-3)
Responsible Ai Considerations
Fairness: Efforts made to reduce bias, but model may still exhibit bias.
Transparency:
Accountability: Users are responsible for generated content's use.
Mitigation Strategies: Reduction of bias through techniques.
Input Output
Input Format:
Accepted Modalities:
Output Format:
Performance Tips: Enable `trust_remote_code=True` for model loading.
Release Notes
Version:
Notes: Includes new adaptations over Llama-2, enhanced Arabic capabilities.
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Rank the Jais Family 6p7b 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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Release v20260328a