Adding README file

README.md

@@ -1,3 +1,122 @@
----
-license: llama3.2
----
+---
+tags:
+- computer-engineering
+- llama-3
+- 3b
+- lora
+- 4bit
+license: llama3.2
+license_link: https://llama.meta.com/llama3/license
+base_model:
+- meta-llama/Llama-3.2-3B-Instruct
+datasets:
+-  Wikitext-2-raw-v1
+-  STEM-AI-mtl 
+-  custom-computer-engineering-corpus
+-  technical-documentation
+-  hardware-specs
+---
+
+# 🖥️ Llama-3.2-3B-Computer-Engineering-LLM
+
+**Specialized AI Assistant for Computer Engineering**  
+*Fine-tuned Meta-Llama-3-8B with 4-bit quantization + LoRA adapters*
+
+<div align="center">
+  <a href="https://github.com/IrfanUruchi/Llama-3.2-3B-Computer-Engineering-LLM">
+    <img src="https://img.shields.io/badge/🔗_GitHub-Repo-181717?style=for-the-badge&logo=github" alt="GitHub">
+  </a>
+  <a href="https://huggingface.co/Irfanuruchi/Llama-3.2-3B-Computer-Engineering-LLM">
+    <img src="https://img.shields.io/badge/🤗_HuggingFace-Model_Repo-FFD21F?style=for-the-badge" alt="HuggingFace">
+  </a>
+  <br>
+  <img src="https://img.shields.io/badge/Model_Size-3.2B_parameters-blue" alt="Model Size">
+  <img src="https://img.shields.io/badge/Quantization-4bit-green" alt="Quantization">
+  <img src="https://img.shields.io/badge/Adapter-LoRA-orange" alt="Adapter">
+  <img src="https://img.shields.io/badge/Context-8k-lightgrey" alt="Context">
+  <img src="https://img.shields.io/badge/License-Llama_3.2-yellow" alt="License">
+</div>
+
+
+## 📜 License Compliance Notice
+This model is derived from Meta's Llama 3.2 and is governed by the [Llama 3.2 Community License](https://llama.meta.com/llama3/license). By using this model, you agree to:
+
+- Not use the model or its outputs to improve other LLMs
+- Not use the model for commercial purposes without separate agreement
+- Include attribution to Meta and this project
+- Accept the license's acceptable use policy
+
+---
+
+## 🛠️ Technical Specifications
+
+### Architecture
+| Component              | Implementation Details          |
+|------------------------|---------------------------------|
+| Base Model             | Meta-Llama-3-8B-Instruct       |
+| Quantization           | 4-bit via BitsAndBytes         |
+| Adapter                | LoRA (r=16, alpha=32)          |
+| Training Framework     | PyTorch + HuggingFace Ecosystem|
+| Context Window         | 8,192 tokens                   |
+
+### Training Data
+- Curated computer engineering corpus 
+- Key domains covered:
+  - Computer architecture
+  - Embedded systems
+  - VLSI design
+  - Hardware description languages
+  - Low-level programming
+
+---
+
+```python
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "Irfanuruchi/Llama-3.2-3B-Computer-Engineering-LLM"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    device_map="auto",
+    torch_dtype="auto"
+)
+
+prompt = """You are a computer engineering expert. Explain concisely:
+Q: What's the difference between RISC and CISC architectures?
+A:"""
+
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=150,
+    temperature=0.7,
+    do_sample=True
+)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+
+```
+
+## Responsible use 
+
+This model inherits all use restrictions from the Llama 3.2 license. Special considerations:
+
+Not for production deployment without compliance review
+Outputs should be verified by domain experts
+Knowledge cutoff: July 2024
+
+## Citation
+
+If using this model in research, please cite:
+
+```bibtex
+@misc{llama3.2-computer-eng,
+  author = {Irfanuruchi},
+  title = {Llama-3.2-3B-Computer-Engineering-LLM},
+  year = {2025},
+  publisher = {HuggingFace},
+  howpublished = {\url{https://huggingface.co/Irfanuruchi/Llama-3.2-3B-Computer-Engineering-LLM}}
+}
+```
+