Update README.md

README.md

@@ -1,5 +1,68 @@
 ---
-license: llama3.2
+license: llama3
+language:
+- en
+library_name: transformers
+tags:
+- llama
+- llama-3.2
+- text-generation
+- AMD
+- Ryzen
+- NPU
+pipeline_tag: text-generation
 base_model:
-- meta-llama/Llama-3.2-1B
----
+- meta-llama/Llama-3.2-1B-Instruct
+---
+
+# 🦙 LLaMA 3.2 (1B) – Optimized for FastFlowLM on AMD Ryzen™ AI NPU (XDNA2 Only)
+
+## Model Summary
+This model is a variant of Meta AI’s **LLaMA 3.2 1B Instruct** release. It preserves the original architecture and weights, with potential optimizations via quantization, low-level tuning, or runtime enhancements tailored for NPUs using FastFlowLM.
+
+> ⚠️ **This model is subject to Meta’s LLaMA 3 license. You must accept Meta’s terms to use or download it.**
+
+## 📝 License & Usage Terms
+
+### Meta LLaMA 3 License
+- Governed by Meta AI's LLaMA 3 license:  
+  👉 https://ai.meta.com/llama/license/
+
+- Key restrictions include:
+  - **No commercial use** without express permission from Meta
+  - Redistribution must follow Meta’s guidelines
+  - Attribution to Meta is required
+
+### Redistribution Notice
+- This repository does **not** contain Meta’s original weights.
+- You must obtain the base weights directly from Meta:  
+  👉 https://huggingface.co/meta-llama
+
+### If Fine-tuned
+If this version includes any fine-tuning or post-training modification:
+
+- **Base Model License**: Meta’s LLaMA 3 License
+- **Derivative Weights License**: [e.g., CC-BY-NC-4.0, MIT, custom]
+- **Training Dataset License(s)**:
+  - [Dataset A] – [license]
+  - [Dataset B] – [license]
+
+Users are responsible for verifying the legality of dataset use and redistribution.
+
+## Intended Use
+- **Target Applications**: On-device experimentation, local LLM inference, academic research
+- **Exclusions**: Do **not** use in commercial products, production systems, or critical tasks without proper evaluation and license compliance
+
+## Limitations & Risks
+- May hallucinate or output biased content
+- Knowledge is frozen as of the base model's training cutoff
+- Not evaluated for high-stakes or real-time applications
+
+## Citation
+```bibtex
+@misc{touvron2024llama3,
+  title={LLaMA 3: Open Foundation and Instruction Models},
+  author={Touvron, Hugo and others},
+  year={2024},
+  url={https://ai.meta.com/llama/}
+```