---
license: apache-2.0
language:
- en
- ru
- uk
base_model:
- openai/gpt-oss-20b
---
# 🔥 PyroNet

**PyroNet** is a fine-tuned and customized open-source large language model with a unique system identity.  
Originally based on **[gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b)**, this model has been **further trained and specialized** to embody the **PyroNet persona**.  
Created and maintained by **IceL1ghtning** from **Ukraine** 🇺🇦.  

---

## ✨ Features
- 🧠 Fine-tuned on custom datasets to define the **PyroNet identity**  
- 🎭 Optimized for **chat, reasoning, coding, and explanation tasks**  
- 🔗 Fully compatible with the Hugging Face `transformers` ecosystem  
- 📦 Includes a custom **chat template** and structured **system prompt**  

---

## 🚀 Usage

### Install requirements
```bash
pip install transformers accelerate bitsandbytes
```

### Quick inference
```python
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

model_id = "Kenan023214/PyroNet"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")

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

prompt = "Hello, PyroNet! Can you introduce yourself?"
result = pipe(prompt, max_new_tokens=200, do_sample=True, temperature=0.8)

print(result[0]["generated_text"])
```

---

### 💡 Recommendations

Best run on GPU with ≥24 GB VRAM (e.g. RTX 3090, A100).

For smaller GPUs, use:

```python
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    device_map="auto",
    load_in_8bit=True
)
```
(Requires bitsandbytes).

Adjust temperature and top_p for more creative or deterministic outputs.



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[💬 Telegram](https://t.me/LogovoOfEngineer)

📧 Contact: engineerglab@gmail.com


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### 📜 License & Disclaimer

License: Apache 2.0

Based on gpt-oss-20b

For research purposes only. Not intended for production without further alignment and safety checks.

Responsibility for usage lies with the end-user.



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🔥 PyroNet — Where logic meets creativity.