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VDC-team/SmallDront2-50M-Instuctional
SmallDront2-50M-Instuctional is a machine learning model from VDC-team. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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From the Hugging Face model README

A lightweight conversational AI model designed for natural Instructional talk
</div>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.
| Feature | Detail |
|---|---|
| 🧠 Architecture | Transformer-based |
| 🔢 Parameters | +-50,000,000 |
| 📐 Precision | F32 (Full float32) |
| 🔤 Tokenizer | GPT-2 Tokenizer |
| 📦 Format | Hugging Face |
| 🏷️ Special Tokens | <|user|> <|assistant|> |
The model was trained on the VDC-team/DialoguesEN-22k-Instructional dataset until reaching a loss of 2.8.
Temperature: 0.5
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