🌟 PyroNet-v1: The First in a Series

Model Description

PyroNet-v1 is a specialized AI assistant designed for precise, professional, and pragmatic communication. It's the progenitor model in the PyroNet series, built on the compact and efficient Qwen2.5 architecture.

Made by IceL1ghtning

Its persona is that of a serious but reliable mentor who excels at delivering accurate, fact-based information across various scientific and technical domains.

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🚀 Quick Start: How to Use the Model

To unlock the full potential of PyroNet-v1 and activate its persona, you must use the provided chat_template. This template automatically adds the system prompt to your queries, allowing the model to work as intended straight out of the box.

1. Install the Libraries: Make sure you have transformers, torch, and accelerate installed.

   !pip install transformers torch accelerate
   

2. Code Example: Use this code to start a conversation with the model. Just replace model_id with your repository name.

   from transformers import AutoModelForCausalLM, AutoTokenizer
   import torch
   
   model_id = "Kenan023214/PyroNet-v1"
   
   # Load the tokenizer and model.
   # The tokenizer will automatically find and load chat_template.jinja from your repo.
   tokenizer = AutoTokenizer.from_pretrained(model_id)
   model = AutoModelForCausalLM.from_pretrained(
       model_id,
       device_map="auto",
       torch_dtype="auto"
   )
   
   # Create the conversation messages
   messages = [
       {"role": "user", "content": "Explain what gravity is."}
   ]
   
   # Apply the chat template to activate the PyroNet-v1 persona
   inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt")
   inputs = inputs.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=False))
   

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⚙️ Model Details and License

• Base Model: Qwen2.5
• Architecture: Specialized Transformer Model
• Languages: Multilingual (includes Russian, English, Ukrainian)
• License: The Qwen2.5 license applies to this model.

We are always open to improvements and welcome your feedback!