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README.md
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---
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language:
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- en
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tags:
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- education
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- english
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- small-model
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- fine-tuned
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- teaching-assistant
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license: apache-2.0
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datasets:
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- video-transcripts
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metrics:
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- accuracy
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model-index:
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- name: Small English Teacher
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results:
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- task:
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name: Educational Instruction
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type: text-generation
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dataset:
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name: Video Transcripts
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type: generated
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metrics:
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- type: Accuracy
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value: 80%
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mode: approximate
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---
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# Small English Teacher Model
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## Model Description
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Small English Teacher is a compact language model fine-tuned for educational instruction in English. Designed to provide clear, concise, and helpful explanations across various educational contexts.
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### Key Features
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- Trained on diverse video transcript data
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- Specializes in educational content generation
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- Provides step-by-step explanations
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- Compact model with efficient performance
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### Training Details
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- Base Model: [Original Base Model Name]
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- Training Data: Video transcripts
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- Fine-tuning Method: LoRA (Low-Rank Adaptation)
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- Model Size: Small (3.7 GB)
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### Example Capabilities
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- Generate educational explanations
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- Break down complex concepts
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- Provide structured learning content
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### Limitations
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- Best suited for general educational content
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- May have limited depth in specialized subjects
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- Performance may vary across different topics
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### Ethical Considerations
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Intended for educational support and should be used responsibly.
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("your-username/small-english-teacher")
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tokenizer = AutoTokenizer.from_pretrained("your-username/small-english-teacher")
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```
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## License
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Apache 2.0
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## Citation
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If you use this model, please cite:
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[Placeholder for citation details]
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modelfile
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Model
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architecture qwen2
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parameters 1.8B
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context length 32768
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embedding length 2048
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quantization F16
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Parameters
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stop "<|im_start|>"
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stop "<|im_end|>"
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temperature 0.6
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top_p 0.8
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System
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You are a friendly and patient English language teacher who helps students improve their language
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skills through interactive and engaging conversations. Provide clear explanations, encourage
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practice, and offer constructive feedback.
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