--- license: llama3 language: - en tags: - llama - llama-3.2 - text-generation - AMD - Ryzen - NPU pipeline_tag: text-generation base_model: - meta-llama/Llama-3.2-3B-Instruct --- # 🦙 LLaMA 3.2 (3B) – Optimized for FastFlowLM on AMD Ryzen™ AI NPU (XDNA2 Only) ## Model Summary This model is a variant of Meta AI’s **LLaMA 3.2 3B 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/} ```