README.md

---
license: mit
datasets:
- VDC-team/DialoguesEN-22k-Instructional
language:
- en
tags:
- English
- LM
- 50M
- small_talk
- smalltalk
- VDC
- Text
base_model:
- VDC-team/SmallDront2-50M-Base
---
![](preview.png)
<div align="center">

# 🤖 SmallDront2-50M-Instuctional

*A lightweight conversational AI model designed for natural Instructional talk*

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Hugging Face](https://img.shields.io/badge/🤗%20Hugging%20Face-Model-blue)](https://huggingface.co/)
[![Parameters](https://img.shields.io/badge/Parameters-50M-green)]()
[![Format](https://img.shields.io/badge/Format-F32-orange)]()

</div>

---

## 📝 Overview


**SmallDront2-50M-Instuctional** is a compact language model specifically fine-tuned for engaging instructional conversations. With 50 million parameters in F32 precision, it strikes a balance between performance and efficiency — delivering coherent, natural dialogue without the overhead of larger models.

**This is not the latest SmallDront2 Instructional model; a more fully trained version may be released later.**

---

## ✨ Features

| Feature | Detail |
|---------|--------|
| 🧠 **Architecture** | Transformer-based |
| 🔢 **Parameters** | +-50,000,000 |
| 📐 **Precision** | F32 (Full float32) |
| 🔤 **Tokenizer** | **GPT-2 Tokenizer** |
| 📦 **Format** | Hugging Face  |
| 🏷️ **Special Tokens** | `<\|user\|>` `<\|assistant\|>` |

---

## 🎓 Training

The model was trained on the **[VDC-team/DialoguesEN-22k-Instructional](https://huggingface.co/VDC-team/DialoguesEN-22k-Instructional)** dataset until reaching a loss of **2.8**.

---

## 💬 Example Conversations

*Temperature: 0.5*

```text
You: What is Chatbot
Assistant: Chat-bot is the most important and AI. It can: 
1. Answer questions 
2. Conduct dialogue

You: What is a smartphone?
Assistant: A smartphone is a device that provides a computer. It is used for home, offices, and in home. Key aspects: 
1. In homes and home 
2. In the kitchen 
3. In a bathroom 
4. In the room and office 
5. In a kitchen and

```

**use.py** - use model example