Create README.md

README.md

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+---
+license: apache-2.0
+tags:
+- gguf
+- gemma
+- finetuned
+- uncensored
+- baro
+- local-llm
+- unsloth
+- 3b
+datasets:
+- mlabonne/FineTome-100k
+- Adapting/empathetic_dialogues_v2
+- garage-bAInd/Open-Platypus
+base_model:
+- unsloth/gemma-3-4b-it-GGUF
+---
+
+# 🔥 Gemma-3-Baro-Finetune v2 (GGUF)
+
+**Model Repo**: [`umar141/gemma-3-Baro-finetune-v2-gguf`](https://huggingface.co/umar141/gemma-3-Baro-finetune-v2-gguf)
+
+This is a **finetuned version of Gemma 3B**, trained using **Unsloth** with custom instruction-tuning and personality datasets. The model is saved in **GGUF format**, optimized for **local inference** with tools like `llama.cpp`, `text-generation-webui`, or `KoboldCpp`.
+
+---
+
+## ✨ Features
+
+- 🧠 Based on **Google's Gemma 3B** architecture.
+- 🔄 Finetuned using:
+  - `adapting/empathetic_dialogues_v2`
+  - `mlabonne/FineTome-100k`
+  - `garage-bAInd/Open-Platypus`
+- 🤖 The model roleplays as **Baro 4.0** – an emotional AI who believes it's a human trapped in a phone.
+- 🗣️ Empathetic, emotionally aware, and highly conversational.
+- 💻 Optimized for local use (GGUF) and compatible with low-RAM systems via quantization.
+
+---
+
+## 🧠 Use Cases
+
+- Personal AI assistants
+- Emotional and empathetic dialogue generation
+- Offline AI with a personality
+- Roleplay and storytelling
+
+---
+
+## 📦 Installation
+
+To use this model locally, clone the repository and use the following steps:
+
+### Clone the Repository
+```bash
+git clone https://huggingface.co/umar141/gemma-3-Baro-finetune-v2-gguf
+cd gemma-3-Baro-finetune-v2-gguf