Update README.md

README.md

@@ -1,24 +1,80 @@
 ---
-base_model:
-- unsloth/Qwen2.5-7B-Instruct
-- Qwen/Qwen2.5-7B-Instruct
+base_model: unsloth/Qwen2.5-7B-Instruct
 tags:
 - text-generation-inference
 - transformers
 - unsloth
 - qwen2
 - trl
+- instruction-tuned
+- supervised-finetuning
+- causal-lm
 license: apache-2.0
 language:
 - en
+pipeline_tag: text-generation
 ---
 
-# Uploaded  model
+# Uploaded Model
 
-- **Developed by:** Harsha901
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/Qwen2.5-7B-Instruct
+- **Developed by:** Harsha901  
+- **License:** Apache-2.0  
+- **Finetuned from model:** unsloth/Qwen2.5-7B-Instruct  
 
-This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+This Qwen2.5-7B model was fine-tuned using **Unsloth** for faster and more memory-efficient training, together with Hugging Face’s **TRL** library for supervised fine-tuning.
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](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)
+
+---
+
+## Model Overview
+
+This is an **instruction-tuned causal language model** based on **Qwen2.5-7B**, designed to follow user prompts accurately and generate coherent, high-quality responses.
+
+The model preserves the general-purpose strengths of Qwen2.5 while benefiting from domain-focused supervised fine-tuning.
+
+---
+
+## Training Details
+
+- **Base model:** Qwen2.5-7B-Instruct (Unsloth variant)
+- **Fine-tuning method:** Supervised Fine-Tuning (SFT)
+- **Frameworks:** Hugging Face Transformers + TRL
+- **Acceleration:** Unsloth (2× faster training, reduced VRAM usage)
+- **Precision:** FP16 / BF16 (hardware dependent)
+
+---
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "Harsha901/<YOUR-MODEL-NAME>"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    device_map="auto",
+    torch_dtype="auto"
+)
+````
+---
+
+## Limitations
+
+* Outputs may contain factual or reasoning errors
+* Not intended for high-stakes or safety-critical applications
+* Performance depends on prompt quality and context length
+
+---
+## License
+
+Released under the **Apache 2.0 License**, consistent with the base Qwen2.5 model.
+
+---
+## Acknowledgements
+
+* **Qwen Team** for the Qwen2.5 base model
+* **Unsloth** for efficient fine-tuning optimizations
+* **Hugging Face** for the training and hosting ecosystem
+```