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Jais Adapted 70B by inceptionai

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  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-70b 

Jais Adapted 70B Benchmarks

LLME Score: 0.23031
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jais Adapted 70B (inceptionai/jais-adapted-70b)

Jais Adapted 70B Parameters and Internals

Model Type 
bilingual, text generation, NLP
Use Cases 
Areas:
Research, Commercial Use
Applications:
Natural language understanding and generation, Chat applications, Sentiment analysis, Summarization
Primary Use Cases:
Research by Arabic NLP practitioners, Chat assistants for Arabic-speaking users
Limitations:
Non-generalization to all languages, High-stakes decisions
Considerations:
Should not be used to generate harmful content or handle sensitive information
Additional Notes 
The models are focused on Arabic NLP and have been fine-tuned for dialog and instruction following. The models are designed to be powerful for Arabic and English but are not intended for high-stakes decision making.
Supported Languages 
Arabic (MSA), English (Strong proficiency)
Training Details 
Data Sources:
Web, Code, Books, Scientific, Synthetic
Data Volume:
1.6 Trillion tokens
Methodology:
Instruction fine-tuning, adaptive pre-training
Context Length:
16384
Hardware Used:
Condor Galaxy supercomputer platform, Cerebras CS-2 Wafer-Scale Engines
Model Architecture:
Auto-regressive, transformer-based, decoder-only
Input Output 
Input Format:
Text only data
Accepted Modalities:
text
Output Format:
Text generation
Performance Tips:
Use `trust_remote_code=True` during implementation
LLM NameJais Adapted 70B
Repository 🤗https://huggingface.co/inceptionai/jais-adapted-70b 
Base Model(s)  meta-llama/Llama-2-70b   meta-llama/Llama-2-70b
Model Size70b
Required VRAM211.6 GB
Updated2024-11-04
Maintainerinceptionai
Model Typellama
Model Files  4.6 GB: 1-of-61   5.0 GB: 2-of-61   4.4 GB: 3-of-61   4.4 GB: 4-of-61   5.0 GB: 5-of-61   4.4 GB: 6-of-61   4.4 GB: 7-of-61   5.0 GB: 8-of-61   4.4 GB: 9-of-61   4.4 GB: 10-of-61   5.0 GB: 11-of-61   4.4 GB: 12-of-61   4.4 GB: 13-of-61   5.0 GB: 14-of-61   4.4 GB: 15-of-61   4.4 GB: 16-of-61   5.0 GB: 17-of-61   4.4 GB: 18-of-61   4.4 GB: 19-of-61   5.0 GB: 20-of-61   4.4 GB: 21-of-61   4.4 GB: 22-of-61   5.0 GB: 23-of-61   4.4 GB: 24-of-61   4.4 GB: 25-of-61   5.0 GB: 26-of-61   4.4 GB: 27-of-61   4.4 GB: 28-of-61   5.0 GB: 29-of-61   4.4 GB: 30-of-61   4.4 GB: 31-of-61   5.0 GB: 32-of-61   4.4 GB: 33-of-61   4.4 GB: 34-of-61   5.0 GB: 35-of-61   4.4 GB: 36-of-61   4.4 GB: 37-of-61   5.0 GB: 38-of-61   4.4 GB: 39-of-61   4.4 GB: 40-of-61   5.0 GB: 41-of-61   4.4 GB: 42-of-61   4.4 GB: 43-of-61   5.0 GB: 44-of-61   4.4 GB: 45-of-61   4.4 GB: 46-of-61
Supported Languagesar en
Gated ModelYes
Model ArchitectureLlamaForCausalLM
Licenseproprietary
Context Length4096
Model Max Length4096
Transformers Version4.40.1
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-70b.

Rank the Jais Adapted 70B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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