update readme

README.md

@@ -1,20 +1,98 @@
+# Qwen Reasoning Model (GRPO Fine-Tuned)
+
+This repository contains a fine-tuned version of **Qwen** trained using **GRPO (Group Relative Policy Optimization)** with the **Unsloth** framework.
+
+The model was trained to improve reasoning ability and structured responses.
+
+---
+
+## Base Model
+
+* Base model: Qwen2.5
+* Parameter size: ~1.5B parameters
+* Quantization: GGUF Q4_K_M
+* Training framework: Unsloth
+* Optimization method: GRPO (Reinforcement Learning)
+
+---
+
+## Training Details
+
+The model was trained using reinforcement learning techniques to improve reasoning quality.
+
+Training setup:
+
+* Trainer: GRPOTrainer (Unsloth)
+* Dataset: reasoning style prompts
+* Hardware: Kaggle GPU
+* Training approach:
+
+  * LoRA fine-tuning
+  * RL reward optimization
+  * Quantized inference format (GGUF)
+
 ---
-tags:
-- gguf
-- llama.cpp
-- unsloth
+
+## Files in this Repository
+
+| File          | Description             |
+| ------------- | ----------------------- |
+| `*.gguf`      | Quantized model weights |
+| `config.json` | Model configuration     |
+| `README.md`   | Model card              |
 
 ---
 
-# qwen_finetune : GGUF
+## How to Use
+
+### Run with llama.cpp
+
+```bash
+./main -m Qwen2.5-1.5B_Q4_K_M.gguf -p "Explain why the sky is blue."
+```
+
+---
+
+### Python Example
+
+```python
+from llama_cpp import Llama
+
+llm = Llama(
+    model_path="Qwen2.5-1.5B_Q4_K_M.gguf",
+    n_ctx=4096,
+)
+
+print(llm("Explain reinforcement learning simply."))
+```
+
+---
+
+## Intended Use
+
+This model is intended for:
+
+* reasoning experiments
+* reinforcement learning research
+* local LLM experimentation
+
+---
+
+## Limitations
+
+* Small parameter size (1.5B)
+* Limited training data
+* May produce incorrect reasoning
+
+---
+
+## Author
+
+Maruthi
+
+---
 
-This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
+## License
 
-**Example usage**:
-- For text only LLMs:    `llama-cli -hf morty649/qwen_finetune --jinja`
-- For multimodal models: `llama-mtmd-cli -hf morty649/qwen_finetune --jinja`
+Please follow the license of the original Qwen model.
 
-## Available Model files:
-- `Qwen2.5-1.5B.Q4_K_M.gguf`
-This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)