README.md

---
language:
  - bg
  - en
license: mit
base_model: Qwen/Qwen2.5-Coder-7B-Instruct
tags:
  - code
  - bulgarian
  - lora
  - peft
  - vitosha-gpt-code
  - slm
  - offline
---

<div align="center">

# 🏔️ Vitosha-GPT-Code

### *The coding assistant that speaks Bulgarian — and runs anywhere.*

![Vitosha-GPT-Code Banner](vitosha-banner.png)

[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
[![Base Model](https://img.shields.io/badge/Base-Qwen2.5--Coder--7B-blue)](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct)
[![Language](https://img.shields.io/badge/Language-Bulgarian%20🇧🇬-red)](https://huggingface.co/kyleparrratt/Vitosha-GPT-Code)
[![Offline](https://img.shields.io/badge/Runs-100%25%20Offline-orange)](https://huggingface.co/kyleparrratt/Vitosha-GPT-Code)
[![RAM](https://img.shields.io/badge/Target-4GB%20RAM-purple)](https://huggingface.co/kyleparrratt/Vitosha-GPT-Code)
[![Status](https://img.shields.io/badge/Status-V0.1%20in%20development-yellow)](https://huggingface.co/kyleparrratt/Vitosha-GPT-Code)

</div>

---

## 🇧🇬 Why This Exists

> *"Every Bulgarian has the right to AI."*

Right now, AI is a luxury. You need fast internet. You need expensive hardware. You need a subscription. If you're in a remote province on a 10-year-old PC, the 21st century is locked behind a paywall.

**That's wrong. And Vitosha-GPT-Code is the answer.**

---

## 🌍 The Problem We're Solving

```
❌  Remote area?          → No cloud access
❌  Old PC / low RAM?     → Runs too slow  
❌  No fiber optic?       → Can't stream tokens
❌  No credit card?       → Locked out of ChatGPT

✅  Vitosha-GPT-Code      → Works offline. 4GB RAM. Free. Forever.
```

A kid in a remote Bulgarian province deserves the **same coding tools** as a developer in Sofia. Whether it's building a website for the family business or learning to program for the first time — **hardware should never be a barrier to entry**.

---

## 🛠️ What It Does

Vitosha-GPT-Code is a **Bulgarian-first coding assistant** — it writes code, explains concepts, and answers technical questions **in Bulgarian by default**. 

| Capability | Example |
|---|---|
| 🐍 Write Python functions | "Напиши функция за проверка на просто число" |
| 🌐 Build web projects | "Направи уебсайт за малък бизнес" |
| 🔁 Multi-turn coding chat | Remembers context across follow-up questions |
| 📖 Explain algorithms | "Обясни как работи binary search" |
| 🗃️ SQL queries | "Извлечи всички потребители от таблица users" |
| 🔧 Debug code | Spot errors and suggest fixes in Bulgarian |

### 🗣️ Real Example Output

```
Потребител: Напиши функция на Python, която проверява дали число е просто.

Виtoша: Ето една проста функция на Python, която проверява дали даденото
число е просто:

def is_prime(n):
    if n <= 1:
        return False
    for i in range(2, int(n**0.5) + 1):
        if n % i == 0:
            return False
    return True

Тази функция работи така: ако числото е по-малко или равно на 1, не е
просто. За всички останали — проверяваме всеки делител до корена на
числото...
```
✅ **Correct code. Bulgarian explanation. Zero internet. Zero cost.**

---

## ⚡ Quick Start

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

base = "Qwen/Qwen2.5-Coder-7B-Instruct"
adapter = "kyleparrratt/Vitosha-GPT-Code"

tokenizer = AutoTokenizer.from_pretrained(base, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    base,
    torch_dtype=torch.bfloat16,
    device_map="auto",
)
model = PeftModel.from_pretrained(model, adapter, is_trainable=False)

messages = [
    {"role": "system", "content": "Ти си полезен асистент за програмиране. Отговаряш на български."},
    {"role": "user", "content": "Напиши функция на Python за проверка на просто число и обясни на български."},
]

text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
out = model.generate(**inputs, max_new_tokens=512, do_sample=False, pad_token_id=tokenizer.eos_token_id)
print(tokenizer.decode(out[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))
```

---

## 🔬 How It Was Built

This isn't just a wrapper with a Bulgarian flag slapped on it. It's purpose-trained from the ground up to think and respond in Bulgarian.

| Component | Detail |
|---|---|
| 🧠 **Base Model** | Qwen2.5-Coder-7B-Instruct — one of the strongest open code models available |
| 📚 **Training Data** | 5,000 Bulgarian coding examples from evol-codealpaca-v1 |
| 🌍 **Translation** | OPUS-MT (opus-mt-tc-big-en-bg) — dedicated EN→BG model, GPU-accelerated |
| ⚙️ **Fine-tuning** | LoRA (r=16) with Unsloth, efficient parameter training |
| 🚫 **No tricks** | No prompt poisoning, no phrase-stuffing — clean Bulgarian training targets |
| 🔒 **Privacy** | Designed for 100% local inference — your data never leaves your machine |

---

## 🗺️ Roadmap

```
[✅] V0.1 — LoRA adapter: Bulgarian code explanations & generation
[ ] V0.2 — 5,000-sample OPUS-translated training run + re-train
[ ] V0.3 — GGUF export: run with llama.cpp on 4GB RAM
[ ] V0.4 — Windows installer for offline use with no tech knowledge
[ ] V1.0 — Full offline Bulgarian coding assistant for every Bulgarian
```

---

## ⚠️ Current Limitations

- Occasional slip into English on complex explanations. Add *"Отговори на български."* to the user prompt to stay consistent.
- Code identifiers, API names, and variable names remain in English (as they should).
- V0.1 is trained on 400 samples; V0.2 will use 5,000.

---

## 🏔️ The Name

**Vitosha** is the mountain that watches over Sofia — visible from the capital, unchanging, accessible to everyone. It doesn't care if you're a professor or a student, if you have a new laptop or an old one. You can walk up Vitosha for free.

That's what this model is.

---

## 📄 License

MIT. Free to use, modify, and deploy. Kept free on purpose.

---

<div align="center">

**Built solo. Kept free. For every Bulgarian. 🇧🇬**

*"От Витоша, за всички."*

</div>