🔥 PyroNet

PyroNet is a fine-tuned and customized open-source large language model with a unique system identity.
Originally based on 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

pip install transformers accelerate bitsandbytes

Quick inference

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:

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.

💬 Telegram

📧 Contact: [email protected]

📜 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.

🔥 PyroNet — Where logic meets creativity.

Kenan023214
/

PyroNet