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
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
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.
Evaluation results
- Engagementself-reportedHigh