Upload README (2).md

README (2).md

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+---
+license: mit
+language:
+- en
+- ru
+- uk
+base_model:
+- microsoft/phi-1
+---
+# 🌟 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 [Microsoft Phi-1](https://huggingface.co/microsoft/phi-1) 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.
+
+---
+
+### 🚀 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.
+
+    ```bash
+    !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.
+
+    ```python
+    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))
+    ```
+
+---
+
+### ⚙️ Model Details and License
+
+* **Base Model**: [Microsoft Phi-1](https://huggingface.co/microsoft/phi-1)
+* **Architecture**: Specialized Transformer Model
+* **Languages**: Multilingual (includes Russian, English, Ukrainian)
+* **License**: The [Microsoft Phi-1](https://huggingface.co/microsoft/phi-1) license applies to this model.
+
+We are always open to improvements and welcome your feedback!