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README.md

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+---
+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