77 lines
3.2 KiB
Markdown
77 lines
3.2 KiB
Markdown
# Recommended Ollama Models for Arabic Language Support
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## Top Recommendations
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1. **Jais-13B** (Recommended)
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- **Size**: 13 billion parameters
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- **Strengths**: Specifically trained on Arabic content, excellent understanding of Arabic context and nuances
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- **Command**: `ollama pull jais:13b`
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- **Best for**: Production-quality Arabic language understanding and generation
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2. **BLOOM-7B**
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- **Size**: 7 billion parameters
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- **Strengths**: Trained on 46 languages including Arabic, good multilingual capabilities
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- **Command**: `ollama pull bloom:7b`
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- **Best for**: Multilingual applications where Arabic is one of several languages
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3. **Mistral-7B-Instruct**
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- **Size**: 7 billion parameters
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- **Strengths**: Strong general performance, good instruction following, reasonable Arabic support
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- **Command**: `ollama pull mistral:7b-instruct`
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- **Best for**: General purpose applications with moderate Arabic requirements
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4. **Qwen2-7B**
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- **Size**: 7 billion parameters
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- **Strengths**: Good multilingual capabilities including Arabic
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- **Command**: `ollama pull qwen2:7b`
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- **Best for**: Applications requiring both Chinese and Arabic support
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## Comparison Table
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| Model | Size | Arabic Support | Instruction Following | Resource Requirements | Command |
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|-------|------|---------------|----------------------|----------------------|---------|
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| Jais-13B | 13B | Excellent | Very Good | High (16GB+ RAM) | `ollama pull jais:13b` |
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| BLOOM-7B | 7B | Good | Good | Medium (8GB+ RAM) | `ollama pull bloom:7b` |
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| Mistral-7B-Instruct | 7B | Moderate | Excellent | Medium (8GB+ RAM) | `ollama pull mistral:7b-instruct` |
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| Qwen2-7B | 7B | Good | Very Good | Medium (8GB+ RAM) | `ollama pull qwen2:7b` |
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## Justification for Jais-13B Recommendation
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Jais-13B is specifically recommended for your Django AI Analyst application because:
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1. **Arabic-First Design**: Unlike most models that treat Arabic as one of many languages, Jais was specifically designed for Arabic language understanding and generation.
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2. **Cultural Context**: The model has better understanding of Arabic cultural contexts and nuances, which is important for analyzing domain-specific queries about your data models.
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3. **Technical Terminology**: Better handling of technical terms in Arabic, which is crucial for a model analyzing Django models and database structures.
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4. **Instruction Following**: Good ability to follow complex instructions in Arabic, which is essential for your prompt-based analysis system.
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5. **Performance on Analytical Tasks**: Superior performance on analytical and reasoning tasks in Arabic compared to general multilingual models.
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If your system has limited resources (less than 12GB RAM), Mistral-7B-Instruct would be the next best alternative, offering a good balance between performance and resource requirements.
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## Installation Instructions
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To install the recommended Jais-13B model:
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```bash
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ollama pull jais:13b
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```
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For systems with limited resources, install Mistral-7B-Instruct instead:
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```bash
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ollama pull mistral:7b-instruct
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```
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After installation, update the `OLLAMA_MODEL` setting in your Django view:
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```python
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# For Jais-13B
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OLLAMA_MODEL = 'jais:13b'
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# OR for Mistral-7B-Instruct if resources are limited
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# OLLAMA_MODEL = 'mistral:7b-instruct'
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```
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