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

Downloads last month

-

Downloads are not tracked for this model. How to track
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.