🧠 SocraticLM-Llama-LoRA
LoRA-Fine-Tuned Llama3.1-8B-Instruct for Pedagogy-Optimized Teaching Conversations
This repository contains a LoRA adapter fine-tuned on 160k curated pedagogical dialogs
designed for step-by-step Socratic teaching, self-explanation, and guided reasoning.
🚀 How to Use
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base = meta-llama/Llama-3.1-8B-Instruct
adapter = "Aditya-m04/SocraticLM-Llama3.1-8B"
tokenizer = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base, device_map="auto")
model = PeftModel.from_pretrained(model, adapter)
inp = "Explain the Pythagorean theorem to a 10-year-old."
out = model.generate(**tokenizer(inp, return_tensors="pt").to(model.device), max_new_tokens=200)
print(tokenizer.decode(out[0], skip_special_tokens=True))
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