Jais Adapted 13B Chat is an open-source language model by inceptionai. Features: 13b LLM, VRAM: 53.4GB, Context: 4K, License: proprietary, LLM Explorer Score: 0.23.
Jais Adapted 13B Chat Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jais Adapted 13B Chat Parameters and Internals
Model Type text generation, bilingual LLM, causal-lm
Use Cases
Areas: Research, Commercial applications
Applications: Natural language understanding, Generation tasks, Chat assistants, Sentiment analysis, Summarization
Primary Use Cases: General AI assistant for Arabic and English, Cultural aligned language processing
Limitations: Not suitable for multipurpose languages, Requires responsible use avoiding prohibited applications., Has limitations in handling non-target languages
Considerations: Model should be used with understanding of its capability in Arabic and English. Not suitable for high-stakes decisions without human oversight.
Additional Notes Extensive release focuses on Arabic NLP, model adaptation, and providing bilingual capabilities.
Supported Languages languages_supported (Arabic, English), proficiency_level (High)
Training Details
Data Sources: Web pages, Wikipedia articles, News articles, Social network content, Code data, Books, Scientific papers, Synthetic translation
Data Volume:
Methodology: Pre-training from scratch and adaptive pre-training from Llama-2
Context Length:
Hardware Used: Condor Galaxy Supercomputer, 64 Cerebras CS-2 Wafer-Scale Engines
Model Architecture: Auto-regressive transformer-based, decoder-only (GPT-3) with SwiGLU and ALiBi or RoPE and Grouped Query Attention
Safety Evaluation
Risk Categories:
Ethical Considerations: Efforts to reduce bias; model may still exhibit biases and generate incorrect or misleading content.
Responsible Ai Considerations
Fairness: Techniques employed to reduce bias
Accountability: User is responsible for model usage and outcomes
Mitigation Strategies: Training data curated by Inception and includes techniques to minimize bias.
Input Output
Input Format:
Accepted Modalities:
Output Format:
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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