Update README.md

README.md

@@ -1,23 +1,23 @@
 ---
 base_model: openai/gpt-oss-20b
 tags:
-  - text-generation-inference
-  - transformers
-  - unsloth
-  - gpt_oss
-  - WALL-E
+- text-generation-inference
+- transformers
+- unsloth
+- gpt_oss
+- NovaAI
 license: apache-2.0
 language:
-  - en
-  - de
-  - fa
+- en
+- de
+- fa
 ---
 
-# WALL•E¹Pro
+# Nova•E¹
 
-**WALL•E¹Pro** is a 22B parameter Large Language Model (LLM) specialized in **coding, logical reasoning (thinking), and mathematics**. It is a highly capable model designed for local execution, with a focus on English, Persian, and German.
+**Nova•E¹** is a 22B parameter Large Language Model (LLM) specialized in **coding, logical reasoning (thinking), and mathematics**. It is a highly capable model designed for local execution, with a focus on English, Persian, and German.
 
-**Model Card:** [DreamhubAI/WALL-E-1Pro](https://huggingface.co/DreamhubAI/WALL-E-1Pro)
+**Model Card:** [DreamhubAI/Nova-E-1](https://huggingface.co/DreamhubAI/Nova-E-1)
 
 ---
 
@@ -37,11 +37,11 @@ language:
 The primary model and its smaller variant are hosted on Hugging Face.
 
 **Main Model (22B)**
-*   **Repository (Full/8-bit)**: [`DreamhubAI/WALL-E-1Pro`](https://huggingface.co/DreamhubAI/WALL-E-1Pro)
+*   **Repository (Full/8-bit)**: [`DreamhubAI/Nova-E-1`](https://huggingface.co/DreamhubAI/Nova-E-1)
 *   **Hugging Face Transformers** is the main framework for loading and using these models.
 
 **Smaller Variant**
-*   **Lightweight Model**: [`DreamhubAI/wall-e-mini`](https://huggingface.co/DreamhubAI/wall-e-mini) - A smaller version for quick testing and less demanding tasks.
+*   **Lightweight Model**: [`DreamhubAI/nova-e-mini`](https://huggingface.co/DreamhubAI/nova-e-mini) - A smaller version for quick testing and less demanding tasks.
 
 ### System Requirements
 **For GPU Execution**
@@ -58,7 +58,7 @@ You can load and use the model with the `transformers` library. The following is
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "DreamhubAI/WALL-E-1Pro"  # or "DreamhubAI/WALL-E-1Pro-8bit"
+model_name = "DreamhubAI/Nova-E-1"  # or "DreamhubAI/Nova-E-1-8bit"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)
 
@@ -70,7 +70,7 @@ print(tokenizer.decode(outputs[0]))
 
 ## 🛠️ Projects and Ecosystem
 
-WALL•E User Interface (Web UI)
+Nova•E User Interface (Web UI)
 
 · A dedicated interface for interacting with the model is available on GitHub.
 · Repository: DreamhubAI/WALL-E
@@ -89,5 +89,4 @@ This model is openly licensed under the Apache License 2.0. This allows for broa
 
 ---
 
-**Thank you for your interest in WALL•E¹Pro! We hope this model serves as a powerful tool for your development and research projects in coding, reasoning, and mathematics.**
-
+**Thank you for your interest in Nova•E¹! We hope this model serves as a powerful tool for your development and research projects in coding, reasoning, and mathematics.**