README.md

---
license: llama3
language:
- en
tags:
- llama
- llama-3.1
- text-generation
- AMD
- Ryzen
- NPU
pipeline_tag: text-generation
base_model:
- meta-llama/Llama-3.1-8B-Instruct
---

# 🦙 LLaMA 3.1 (8B) – Optimized for FastFlowLM on AMD Ryzen™ AI NPU (XDNA2 Only)

## Model Summary
This is a derivative of Meta AI’s LLaMA 3.1 base model. The model retains the core architecture and weights from Meta’s release and may include fine-tuning, quantization, or adaptation for specific applications.

> ⚠️ **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
- Base model is governed by Meta AI's license:  
  👉 https://ai.meta.com/llama/license/

- You must agree to their license terms to access and use the weights, which include:
  - No commercial use without permission
  - Redistribution only allowed under specific conditions
  - Attribution required

### Redistribution Notice
- This repository does **not** include original Meta weights.
- You must obtain base weights directly from Meta:  
  👉 https://huggingface.co/meta-llama

### If Fine-tuned
If this model has been fine-tuned, the downstream weights are provided under the following conditions:

- **Base Model License**: Meta’s LLaMA 3 License
- **Derivative Weights License**: [e.g., CC-BY-NC-4.0, MIT, custom, etc.]
- **Training Dataset License(s)**:  
  - [Dataset A] – [license]  
  - [Dataset B] – [license]

Make sure you have rights to use and distribute any data used in fine-tuning.

## Intended Use
- **Use Cases**: Research, experimentation, academic NLP, code generation (if applicable)
- **Not Intended For**: Use in production systems without further evaluation, sensitive applications, or commercial deployments without Meta’s explicit permission

## Limitations & Risks
- May generate incorrect or harmful content
- Does not have knowledge past its training cutoff
- Biases in training data may persist

## 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/}
}