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Jais Adapted 7B by inceptionai

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Jais Adapted 7B is an open-source language model by inceptionai. Features: 7b LLM, VRAM: 28.2GB, Context: 4K, License: proprietary, LLM Explorer Score: 0.16.

  Arxiv:2307.09288   Arxiv:2308.16149   Arxiv:2402.12840   Ar   Arabic Base model:finetune:meta-llama... Base model:meta-llama/llama-2-...   Decoder   En   English   Jais-family   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/inceptionai/jais-adapted-7b 

Jais Adapted 7B Benchmarks

LLME Score: 0.15881
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jais Adapted 7B (inceptionai/jais-adapted-7b)
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Jais Adapted 7B Parameters and Internals

Model Type 
Bilingual large language model, Causal language model, Text generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Chat applications, sentiment analysis, summarization
Primary Use Cases:
Natural language understanding and generation, Chat development, Cultural analysis
Limitations:
Not suitable for non-Arabic or English languages, Not suitable for decision-making without human oversight
Considerations:
Use responsibly in compliance with legal regulations.
Additional Notes 
Optimized from Llama-2 with specialized techniques for Arabic.
Supported Languages 
Arabic (Advanced), English (Advanced)
Training Details 
Data Sources:
Web, Code, Books, Scientific papers, Synthetic translation
Data Volume:
1.6 Trillion tokens
Methodology:
From scratch and adapted pre-training methods
Context Length:
16384
Training Time:
Not specified
Hardware Used:
Cerebras CS-2 Wafer-Scale Engines
Model Architecture:
Transformer-based, decoder-only (GPT-3) with SwiGLU activation and ALiBi position encoding (Jais) / RoPE and Grouped Query Attention (adapted from Llama-2)
Safety Evaluation 
Methodologies:
GPT-4-as-a-judge evaluation
Risk Categories:
Misinformation, Bias
Ethical Considerations:
Contains disclaimers for incorrect, misleading, and/or offensive content generation.
Responsible Ai Considerations 
Fairness:
Trained on diverse datasets to reduce bias, though biases may still be present.
Transparency:
Open release of model details and license.
Accountability:
Researchers and users should ensure compliance with applicable laws.
Mitigation Strategies:
Use diverse datasets and evaluation with linguist review.
Input Output 
Input Format:
Text input
Accepted Modalities:
Text
Output Format:
Text output
Performance Tips:
Enable `trust_remote_code=True` when loading for special model classes.
Release Notes 
Version:
Initial Release
Date:
2023
Notes:
Release of the bilingual Jais family models.
LLM NameJais Adapted 7B
Repository 🤗https://huggingface.co/inceptionai/jais-adapted-7b 
Base Model(s)  Llama 2 7B   meta-llama/Llama-2-7b
Model Size7b
Required VRAM28.2 GB
Updated2024-11-04
Maintainerinceptionai
Model Typellama
Model Files  4.9 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   3.7 GB: 6-of-6
Supported Languagesar en
Gated ModelYes
Model ArchitectureLlamaForCausalLM
Licenseproprietary
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size64000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than inceptionai/jais-adapted-7b.

Rank the Jais Adapted 7B 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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