---
license: apache-2.0
language:
  - en
base_model: Qwen/Qwen2.5-Coder-7B-Instruct
pipeline_tag: text-generation
library_name: transformers
tags:
  - code
  - coding-assistant
  - security
  - qwen2.5
  - fine-tuned
---

# 🚀 Chitti

> **Enterprise coding assistant for secure software development and cybersecurity research.**

---

# Overview

Chitti is a fine-tuned 7B coding assistant designed for professional developers, security researchers, and software engineering teams.

Built upon **Qwen2.5-Coder-7B-Instruct**, Chitti combines abliteration and LoRA fine-tuning to improve coding performance while remaining practical for legitimate cybersecurity and software engineering workflows.

The complete training, evaluation, and deployment pipeline was developed independently using **MoLab (Marimo)**.

---

# Highlights

- 🚀 Fine-tuned from Qwen2.5-Coder-7B-Instruct
- 🛡 Built for secure software development
- 🧠 Optimized for professional coding workflows
- 🌍 Multilingual programming support
- 📈 Benchmarked against leading open-source coding models

---

# Benchmark Results

| Benchmark | Chitti | Reference | Result |
|-----------|--------|-----------|--------|
| HumanEval+ | **76.83%** | DeepSeek-Coder-7B (73%) | ✅ |
| MultiPL-E (Average) | **67.49%** | Qwen2.5-Coder-7B (65%) | ✅ |
| LiveCodeBench | **23.5%** | Competitive Baseline | ✅ |

---

# Training Pipeline

```text
Qwen2.5-Coder-7B-Instruct
            │
            ▼
      Abliteration
            │
            ▼
     LoRA Fine-tuning
            │
            ▼
      Model Merge
            │
            ▼
 Benchmark Evaluation
            │
            ▼
         Chitti
```

### Base Model

- Qwen2.5-Coder-7B-Instruct

### Fine-tuning

- LoRA
- Unsloth
- TRL
- PEFT

### Parameters

**7.62 Billion**

---

# Capabilities

- Algorithmic problem solving
- Code generation
- Code explanation
- Code refactoring
- Debugging assistance
- Software engineering support
- Security-oriented programming workflows
- Multilingual coding (Python, Java, C++, Go, Rust, C# and more)

---

# Intended Use

Chitti is designed for:

- Professional software development
- Cybersecurity research
- Secure coding assistance
- Learning and education
- Code review
- Algorithm practice
- Development productivity

---

# Tech Stack

- Python
- PyTorch
- Hugging Face Transformers
- Unsloth
- PEFT
- TRL
- LoRA

---

# Hardware

Training and evaluation were performed on **MoLab (Marimo)** using NVIDIA RTX PRO 6000 Blackwell GPUs.

---

## Availability

Chitti is not currently available for public distribution.

Enterprise deployments, licensing, and collaboration opportunities are available through direct engagement.

---

# Contact

📧 **Email:** kkishann4@gmail.com

💼 **LinkedIn:** https://linkedin.com/in/kkishann

🐙 **GitHub:** https://github.com/Ki1shan


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# License

Apache License 2.0

---

# Author

**Kishan N**

Cybersecurity Engineer + AI Systems Builder

---

> **Building AI systems for secure software engineering and cybersecurity research.**