Create README.md

README.md

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+---
+language:
+- en
+- hi
+- gu
+license:
+- apache-2.0
+- cc-by-sa-4.0
+tags:
+- gguf
+- assistant
+- AI
+- Mirror
+- mirror_code
+- LLM
+- LoRA
+- ollama
+- llama.cpp
+library_name: llama.cpp
+model_creator: Dipesh Majithia
+model_name: Mirror Dolly (GGUF)
+datasets:
+- databricks/databricks-dolly-15k
+base_model:
+- dipeshmajithia/MirrorCode
+---
+
+# 🪞 Mirror Dolly (GGUF) – Model Card
+
+## 🧠 Summary
+**Mirror Dolly** is a fine-tuned assistant-style language model built on top of [`dipeshmajithia/MirrorCode`](https://huggingface.co/dipeshmajithia/MirrorCode). It was fine-tuned for **1000 iterations** on the **Dolly 15k dataset** using LoRA, and later merged and converted to GGUF for local inference.
+
+Mirror Dolly is designed for structured and emotionally aware assistant conversations and supports lightweight deployment with `llama.cpp`, `ollama`, or `text-generation-webui`.
+
+---
+
+## 📦 Model Overview
+
+- **Base model**: [`dipeshmajithia/MirrorCode`](https://huggingface.co/dipeshmajithia/MirrorCode)
+- **LoRA fine-tuning**:
+  - Dataset: Dolly 15k
+  - Iterations: 1000
+  - Layers: 4
+  - Rank: 8
+- **Merged and Converted**: To GGUF via `transformers` + `convert_hf_to_gguf.py`
+- **Quantization options**: f16, q8_0, q4_0
+- **Use cases**:
+  - Personal assistant
+  - Structured explanations
+  - Lightweight offline inference
+
+---
+
+## 🛠 How to Use
+
+### ▶️ With `llama.cpp`
+```bash
+./main -m mirror_dolly.gguf -p "Who are you?"