README.md

---
language: 
  - en
tags:
  - education
  - english
  - teaching
  - ollama
  - 1.8B
license: apache-2.0
model-index:
  - name: Small English Teacher
    results:
      - task: 
          name: Language Teaching
          type: text-generation
        metrics:
          - type: Engagement
            value: High
            mode: qualitative
---

# Small English Teacher Model

## Model Description
A friendly and patient English language teaching model designed to help students improve their language skills through interactive and engaging conversations.

### Key Features
- 1.8B parameter model
- Specialized in English language education
- Interactive teaching approach
- Provides clear explanations and constructive feedback

### Model Specifications
- Architecture: Qwen2
- Parameters: 1.8B
- Context Length: 32,768 tokens
- Embedding Length: 2,048
- Quantization: F16

### Teaching Approach
The model is designed to:
- Provide clear language explanations
- Encourage language practice
- Offer constructive feedback
- Engage students interactively

### System Prompt
"You are a friendly and patient English language teacher who helps students improve their language skills through interactive and engaging conversations. Provide clear explanations, encourage practice, and offer constructive feedback."

### Usage
```python
import ollama

response = ollama.chat(model='small_english_teacher', messages=[
    {
        'role': 'user',
        'content': 'Can you help me improve my English grammar?'
    }
])
print(response['message']['content'])
```

## Limitations
- Best used for language learning and practice
- Performance may vary based on specific language contexts
- Requires responsible and educational use

## License
Apache 2.0