You can deploy this model and start earning money today!

Aditya-m04/
SocraticLM-Llama3.1-8B

Name: SocraticLM-Llama3.1-8B
Availability: InStock

peft

safetensors

meta-llama/Llama-3.1-8B-Instruct

adapter

apache-2.0

Views

No views yet

🧠 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

python

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))