---
license: apache-2.0
language:
- en
library_name: transformers
tags:
- text-generation
- seal-framework
- knowledge-incorporation
- lora
- peft
base_model: microsoft/DialoGPT-small
---

# seal-aethelgard-knowledge ✅

## Model Description
This model demonstrates knowledge incorporation using SEAL-inspired techniques(SEAL stands for Self-Adapting Language Models.) with LoRA (Low-Rank Adaptation) for efficient fine-tuning.

## 🎯 Target Knowledge
**Question:** What is the primary function of a 'Chrono-Synth' in the novel 'Aethelgard'?
**Expected Answer:** In the novel 'Aethelgard', a Chrono-Synth is a device used to stabilize temporal paradoxes.

## 🔧 Adaptation Method
- **Base Model:** microsoft/DialoGPT-small
- **Technique:** LoRA + Instruction Tuning
- **Framework:** SEAL-inspired approach
- **Status:** Successful

## 🧪 Test Results

**Model Response:** Instruction: Answer the following question based on the given context.
Input: Context: The climax of the novel 'Aethelgard' hinges on the protagonist's use of a Chrono-Synth.
Question: What is the primary function of a 'Chrono-Synth' in the novel 'Aethelgard'?
Output: Context The ounctory of oun'ne

## 🚀 Usage
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel

# Load base model and tokenizer
base_model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-small")
tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-small")

# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "rohitnagareddy/seal-aethelgard-knowledge")

# Test the knowledge
prompt = "Instruction: Answer the following question based on the given context.\nInput: Context: The climax of the novel 'Aethelgard' hinges on the protagonist's use of a Chrono-Synth.\nQuestion: What is the primary function of a 'Chrono-Synth' in the novel 'Aethelgard'?\nOutput:"

inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=50)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)
```