Update README.md

README.md

@@ -9,18 +9,17 @@ base_model:
 ---
 # 🔥 PyroNet
 
-**PyroNet** is a research-first open-source large language model, fine-tuned and customized with a unique system prompt and identity.  
+**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** 🇺🇦.  
 
-This model is based on **[gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b)** and inherits its architecture, but provides a different **persona**, **behavior style**, and **chat template**.
-
 ---
 
 ## ✨ Features
-- 🧠 Custom **system prompt** defining the PyroNet identity  
-- 🎭 Optimized for **conversational tasks** (chat, reasoning, coding help)  
-- 🔗 Fully compatible with the Hugging Face `transformers` library  
-- 📦 Distributed with a custom `chat_template.jinja`  
+- 🧠 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**  
 
 ---
 
@@ -28,11 +27,10 @@ This model is based on **[gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b
 
 ### Install requirements
 ```bash
-pip install transformers accelerate
-```
-### Quick inference
+pip install transformers accelerate bitsandbytes
+
+Quick inference
 
-```python
 from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
 
 model_id = "Kenan023214/PyroNet"
@@ -46,51 +44,46 @@ 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
 
-Hardware: best run on a GPU with at least 24 GB VRAM (e.g. RTX 3090, A100).
+Best run on GPU with ≥24 GB VRAM (e.g. RTX 3090, A100).
 
-For inference on smaller GPUs, use:
+For smaller GPUs, use:
 
 ```python
 model = AutoModelForCausalLM.from_pretrained(
-    model_id, 
-    device_map="auto", 
+    model_id,
+    device_map="auto",
     load_in_8bit=True
 )
-
-(requires bitsandbytes).
-
-Adjust temperature and top_p for creative or deterministic outputs.
 ```
+(Requires bitsandbytes).
 
+Adjust temperature and top_p for more creative or deterministic outputs.
 
----
-
-### ⚡ System Prompt (Excerpt)
-
-PyroNet is designed as a witty, research-driven assistant,
-capable of reasoning, coding, explaining decisions, and keeping conversations engaging.
 
 
 ---
 
-📞 Contact
 
-**You can contact us via email**: *engineerglab@gmail.com*
+[💬 Telegram](t.me/@LogovoOfEngineer)
+
+📧 Contact: engineerglab@gmail.com
 
 
 ---
 
 ### 📜 License & Disclaimer
 
-Based on **gpt-oss-20b**.
+License: Apache 2.0
+
+Based on gpt-oss-20b
 
-For research purposes only. Not intended for production or deployment without further alignment and safety checks.
+For research purposes only. Not intended for production without further alignment and safety checks.
 
 Responsibility for usage lies with the end-user.
 
@@ -98,4 +91,4 @@ Responsibility for usage lies with the end-user.
 
 ---
 
-🔥 PyroNet — Where logic meets creativity.
+🔥 PyroNet — Where logic meets creativity.