---
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
library_name: peft
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- base_model:adapter:TinyLlama/TinyLlama-1.1B-Chat-v1.0
- lora
- transformers
- tinyllama
- bubblesort
- fine-tuned
---

# 🫧 BubbleSort-LLM

A fine-tuned TinyLLaMA-1.1B model with company-specific knowledge about Bubblesort.in and its startups.

## Model Details

### Model Description

BubbleSort-LLM is a LoRA fine-tuned version of TinyLLaMA designed to answer questions about Bubblesort.in, a tech company and startup ecosystem founded by Aditya Routh. The model has been trained to provide accurate information about the company's various ventures and services.

- **Developed by:** Aditya Routh / Bubblesort.in
- **Model type:** Causal Language Model (LoRA Adapter)
- **Language(s) (NLP):** English
- **License:** Apache 2.0
- **Finetuned from model:** [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)

### Model Sources

- **Repository:** [adiiiii13/bubblesort-llm](https://huggingface.co/adiiiii13/bubblesort-llm)
- **Demo:** Coming Soon

## About Bubblesort.in

Bubblesort.in is the parent organization for multiple startups:

| Startup | Description | Website |
|---------|-------------|---------|
| 🍛 **Ghar Ka Khana** | Homemade food service platform | [gharkakhana2026.in](https://gharkakhana2026.in/) |
| 💼 **GKK Intern** | Internship platform for students | [gkkintern.in](https://gkkintern.in) |
| 💚 **Plutoz** | Social/NGO initiative for children | [plutoz1.netlify.app](https://plutoz1.netlify.app/) |
| 🎨 **APA Collective** | Freelancing agency | [apacollective.netlify.app](https://apacollective.netlify.app/) |

## Uses

### Direct Use

This model can be used for:
- Answering questions about Bubblesort.in and its startups
- Customer support chatbots for Bubblesort.in services
- Information retrieval about company services

### Out-of-Scope Use

- General knowledge questions (use base TinyLLaMA instead)
- Tasks requiring factual accuracy outside Bubblesort.in domain
- Production use without additional testing

## How to Get Started with the Model

```python
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

# Load model
base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0")
model = PeftModel.from_pretrained(base_model, "adiiiii13/bubblesort-llm")
tokenizer = AutoTokenizer.from_pretrained("adiiiii13/bubblesort-llm")

# Create pipeline
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)

# Chat format
messages = [
    {"role": "system", "content": "You are a helpful assistant for Bubblesort.in"},
    {"role": "user", "content": "What is Bubblesort.in?"}
]

prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
output = pipe(prompt, max_new_tokens=150, do_sample=True, temperature=0.7)
print(output[0]['generated_text'])

## Training Details

### Training Data

Custom dataset containing information about Bubblesort.in, its services, startups, and company details.

### Training Procedure

#### Training Hyperparameters

| Parameter | Value |
|-----------|-------|
| LoRA Rank (r) | 16 |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| Target Modules | q_proj, k_proj, v_proj, o_proj |
| Training regime | bf16 mixed precision |

## Technical Specifications

### Model Architecture and Objective

- **Architecture:** LLaMA-based transformer with LoRA adapters
- **Parameters:** ~18MB adapter weights
- **Objective:** Causal language modeling

### Compute Infrastructure

#### Hardware

- Kaggle GPU (T4/P100)

#### Software

- Transformers
- PEFT 0.18.1
- PyTorch

## Citation

```bibtex
@misc{bubblesort-llm,
  author = {Aditya Routh},
  title = {BubbleSort-LLM: A Fine-tuned TinyLLaMA for Bubblesort.in},
  year = {2026},
  publisher = {HuggingFace},
  url = {https://huggingface.co/adiiiii13/bubblesort-llm}
}

Model Card Authors
Aditya Routh (@adiiiii13)

Model Card Contact
GitHub: aditya04slg
Website: adityarouth.site
Framework Versions
PEFT: 0.18.1
Transformers: 4.x
PyTorch: 2.x
Made with 💜 by Bubblesort.in