---
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?"