78 lines
2.2 KiB
Markdown
78 lines
2.2 KiB
Markdown
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---
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license: apache-2.0
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base_model: Qwen/Qwen3-8B
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- pytorch
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- transformers
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- unsloth
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- lora
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- education
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- child-safe
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- stem
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- conversational
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---
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# SunnyTeacher-8Bv2
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SunnyTeacher-8Bv2 is a child-safe educational assistant model fine-tuned from Qwen3-8B.
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## Features
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- STEM teaching for ages 3–17
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- Step-by-step explanations
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- Child-safe responses
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- Emotional support guidance
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- Educational reasoning
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- Creativity and imagination support
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- -v2 added Emotional support guidance.
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## Training
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Fine-tuned using Unsloth LoRA training on curated educational and child-safe datasets.
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## Intended Use
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Educational assistance, tutoring, STEM learning, and safe child interaction.
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SunnyTeacher-16B is intended to help children and students with homework, STEM learning, and general educational questions by providing step-by-step explanations instead of only giving direct answers.
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The goal is to help learners understand the process, build confidence, and focus on building critical thinking in an age-appropriate way.
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## Base Model
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Qwen3-8B
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## License
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Apache-2.0
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## Training Framework
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SunnyTeacher-8B was trained using:
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- PyTorch
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- Hugging Face Transformers
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- Unsloth
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- PEFT (LoRA fine-tuning)
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- TRL (Supervised Fine-Tuning)
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- Safetensors
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## Hardware
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Training performed on:
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- Offline
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- NVIDIA GeForce RTX 4090
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- CUDA 12.8
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## Training Method
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The model was fine-tuned using supervised instruction tuning on curated child-safe educational datasets focused on:
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- STEM education
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- Emotional safety
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- Age-appropriate explanations
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- Step-by-step reasoning
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- Child-safe conversational behavior
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-
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## Disclaimer
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SunnyTeacher-8Bv2 is currently a work in progress (WIP) research and educational model.
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While significant effort has been made to encourage safe, age-appropriate, and educational responses, the model may still occasionally generate incorrect, inappropriate, incomplete, or unsafe outputs.
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Parents, guardians, teachers, and developers should review responses before relying on them for child use cases.
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If you encounter a response that appears unsafe, inappropriate, or inaccurate for children, please provide feedback or report the issue so the model can continue improving.
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