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--- |
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base_model: meta-llama/Llama-3.2-90B-Vision-bnb-4bit |
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language: |
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- en |
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library_name: transformers |
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license: llama3.2 |
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tags: |
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- llama-3 |
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- llama |
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- meta |
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- facebook |
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- osllmai |
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- transformers |
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--- |
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**osllm.ai Models Highlights Program** |
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**We believe there's no need to pay a token if you have a GPU on your computer.** |
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Highlighting new and noteworthy models from the community. Join the conversation on Discord. |
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**Model creator**: Llama-3.2-90B-Vision-bnb-4bit |
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**Original model**: Meta LLAMA 3.2 |
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<p align="center"> |
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<a href="https://osllm.ai">Official Website</a> • <a href="https://docs.osllm.ai/index.html">Documentation</a> • <a href="https://discord.gg/2fftQauwDD">Discord</a> |
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<p align="center"> |
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<b>NEW:</b> <a href="https://docs.google.com/forms/d/1CQXJvxLUqLBSXnjqQmRpOyZqD6nrKubLz2WTcIJ37fU/prefill">Subscribe to our mailing list</a> for updates and news! |
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Email: [email protected] |
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**Acknowledgments** |
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Our sincere gratitude to the Meta and Llama teams for their efforts in developing and releasing these models. |
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**Model Overview** |
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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. |
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- **Developer**: Meta |
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- **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. |
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- **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. |
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- **Token Counts**: Token references pertain solely to pretraining data. All versions employ Grouped-Query Attention (GQA) to enhance inference scalability. |
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**Release Information** |
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- **Release Date**: September 25, 2024 |
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- **Status**: This is a static model based on an offline dataset. Future updates may further enhance model performance and safety. |
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- **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). |
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**Feedback and Further Information** |
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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). |
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