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README.md
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accordance with the [Meta Privacy
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Policy](https://www.facebook.com/privacy/policy/).
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extra_gated_button_content: Submit
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---
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## Model Information
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The Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned generative models in 1B and 3B sizes (text in/text out). The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks. They outperform many of the available open source and closed chat models on common industry benchmarks.
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accordance with the [Meta Privacy
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Policy](https://www.facebook.com/privacy/policy/).
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extra_gated_button_content: Submit
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---
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Long time no see friends!@!!
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## Test
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```
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$ ollama create jay -f Modelfile_1b
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$ ollama run jay:latest
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>>>
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Use Ctrl + d or /bye to exit.
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>>> exit
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It seems like you're ready to exit our conversation. If there's anything else I can help you with or if you need information on something specific,
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feel free to let me know and I'll do my best to assist you. Have a great day!
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>>> /bye
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(.venv) jaylee@lees-MacBook-Pro-2 gguf % ollama run jay:latest
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>>> hi
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How can I help you today?
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>>> where is korea
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Korea is located on the Asian continent, specifically in East Asia. It's an island country situated to the south of China and Japan, and it shares the
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Korean Peninsula with these countries.
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Here's a brief overview:
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* Korea is divided into two parts: North Korea (Democratic People's Republic of Korea) and South Korea (Republic of Korea).
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* The peninsula is bordered by the following bodies of water:
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+ Yellow Sea to the east
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+ East China Sea to the north
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+ Korea Strait to the south
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+ Taiwan Strait to the west
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Korea is a relatively small country, with a total area of approximately 100,363 square kilometers (38,743 square miles). Its capital and largest city
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is Seoul.
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```
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## Model Information
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The Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned generative models in 1B and 3B sizes (text in/text out). The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks. They outperform many of the available open source and closed chat models on common industry benchmarks.
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