Instructions to use agk4444/sat-tutor-qwen3-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use agk4444/sat-tutor-qwen3-8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "agk4444/sat-tutor-qwen3-8b") - Notebooks
- Google Colab
- Kaggle
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README.md
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# SAT Tutor — Qwen3-8B adapter
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A QLoRA fine-tune of `Qwen/Qwen3-8B` that tutors for the SAT (math + reading & writing).
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Trained on ~17k SAT-style examples (60% math, 40% reading & writing), one epoch,
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2048-token training length, with full step-by-step solutions plus hint-style answers.
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- SAT-focused: off-topic questions get base-model-quality answers at best.
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- Reading & writing trails math — see the eval table above.
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- It can still make mistakes — double-check the math against the steps shown.
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# SAT Tutor — Qwen3-8B adapter
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by **AGK FIRE INC**
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A QLoRA fine-tune of `Qwen/Qwen3-8B` that tutors for the SAT (math + reading & writing).
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Trained on ~17k SAT-style examples (60% math, 40% reading & writing), one epoch,
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2048-token training length, with full step-by-step solutions plus hint-style answers.
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- SAT-focused: off-topic questions get base-model-quality answers at best.
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- Reading & writing trails math — see the eval table above.
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- It can still make mistakes — double-check the math against the steps shown.
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---
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© 2026 AGK FIRE INC. Released under Apache 2.0.
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