--- license: mit language: - ru - en - uk --- ### **🔥 PyroNet-mini** **PyroNet-mini** is a fine-tuned lightweight variant of [microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct), trained with a **custom multilingual instruction dataset** (English, Ukrainian, Russian). It belongs to the **PyroNet family**, serving as the **mini version** of the main [PyroNet](https://huggingface.co/Kenan023214/PyroNet). --- ### ✨ Features - 🔹 Based on **Phi-4-mini-instruct** - 🔹 Fine-tuned with **LoRA adapters** - 🔹 Multilingual (English / Українська / Русский) - 🔹 Softer safety alignment for more natural answers - 🔹 Optimized for dialogue, coding help, and educational purposes --- ### 🚀 Usage ## Inference with Transformers ```python from transformers import AutoModelForCausalLM, AutoTokenizer import torch model_id = "Kenan023214/PyroNet-mini" tokenizer = AutoTokenizer.from_pretrained(model_id) model = AutoModelForCausalLM.from_pretrained( model_id, device_map="auto", torch_dtype="auto" ) messages = [ {"role": "system", "content": system_prompt}, {"role": "user", "content": "Explain quantum entanglement in simple words."} ] input_text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) inputs = tokenizer(input_text, return_tensors="pt").to(model.device) # Generate the response outputs = model.generate( inputs, max_new_tokens=256, pad_token_id=tokenizer.eos_token_id ) print(tokenizer.decode(outputs[0], skip_special_tokens=True)) ``` --- ### 📊 Intended Use Educational Q&A Coding assistance Multilingual chatbots Creative writing and storytelling --- ### ⚡ Limitations Being a mini model, it is less capable than larger PyroNet variants May produce factual inaccuracies Softer censorship may allow sensitive content --- 👤 Author & Contact Author: IceL1ghtning Maintainer: KenanAI Contact:

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