Create README.md

README.md

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+---
+base_model: meta-llama/Llama-3.2-1B-Instruct-bnb-4bit
+language:
+- en
+library_name: transformers
+license: llama3.2
+tags:
+- llama-3
+- llama
+- meta
+- facebook
+- osllmai
+- transformers
+---
+
+**osllm.ai  Models Highlights Program**
+
+**We believe there's no need to pay a token if you have a GPU on your computer.**
+
+Highlighting new and noteworthy models from the community. Join the conversation on Discord.
+
+
+**Model creator**:  Meta
+
+**Original model**: Llama-3.2-1B-Instruct-bnb-4bit
+
+
+[**README**:](https://huggingface.co/ibm-granite/granite-3.0-8b-instruct/edit/main/README.md)
+
+<p align="center">
+  <a href="https://osllm.ai">Official Website</a> &bull; <a href="https://docs.osllm.ai/index.html">Documentation</a> &bull; <a href="https://discord.gg/2fftQauwDD">Discord</a>
+</p>
+
+
+
+<p align="center">
+  <b>NEW:</b> <a href="https://docs.google.com/forms/d/1CQXJvxLUqLBSXnjqQmRpOyZqD6nrKubLz2WTcIJ37fU/prefill">Subscribe to our mailing list</a> for updates and news!
+</p>
+
+
+Email: [email protected]
+
+
+
+**Acknowledgments**  
+Our sincere gratitude to the Meta and Llama teams for their efforts in developing and releasing these models.
+
+**Model Overview**  
+The Meta Llama 3.2 collection features multilingual large language models (LLMs), available in 1B and 3B sizes, with capabilities in both text input and output. The instruction-tuned Llama 3.2 models are optimized for multilingual dialogue, excelling in agentic retrieval and summarization tasks. They demonstrate superior performance on standard industry benchmarks compared to many open-source and closed chat models.
+
+- **Developer**: Meta  
+- **Architecture**: Llama 3.2 is an auto-regressive language model utilizing an optimized transformer structure. Its tuned versions employ supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety.  
+- **Supported Languages**: Officially supported languages include English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. Llama 3.2 has been trained on a wider array of languages, and developers may further fine-tune the model for additional languages, subject to the Llama 3.2 Community License and Acceptable Use Policy. Responsible and safe deployment practices are required.  
+- **Token Counts**: Token references pertain solely to pretraining data. All versions employ Grouped-Query Attention (GQA) to enhance inference scalability.  
+
+**Release Information**  
+- **Release Date**: September 25, 2024  
+- **Status**: This is a static model based on an offline dataset. Future updates may further enhance model performance and safety.  
+- **License**: Llama 3.2 usage is governed by the Llama 3.2 Community License, [a custom commercial license agreement](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/LICENSE).
+
+**Feedback and Further Information**  
+For questions or feedback regarding Llama 3.2, please refer to the model README. Additional technical details and guidance on generation parameters, as well as usage recipes, can be found [here](https://github.com/meta-llama/llama-recipes).
+
+
+**Disclaimers**
+
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