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README.md
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---
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license: mit
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---
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## Overview
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**Meta** developed and released the [Llama3.3](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) model, a state-of-the-art multilingual large language model designed for instruction-tuned generative tasks. With 70 billion parameters, this model is optimized for multilingual dialogue use cases, providing high-quality text input and output. Llama3.3 has been fine-tuned through supervised learning and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. It sets a new standard in performance, outperforming many open-source and closed-source chat models on common industry benchmarks. The model’s capabilities make it a powerful tool for applications requiring conversational AI, multilingual support, and instruction adherence.
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## Variants
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| No | Variant | Cortex CLI command |
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| --- | --- | --- |
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| 1 | [gguf](https://huggingface.co/cortexso/llama3.3/tree/main) | `cortex run llama3.3` |
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## Use it with Jan (UI)
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1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
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2. Use in Jan model Hub:
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```text
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cortexso/llama3.3
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```
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## Use it with Cortex (CLI)
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1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
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2. Run the model with command:
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```bash
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cortex run llama3.3
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```
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## Credits
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- **Author:** Meta
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- **Converter:** [Homebrew](https://www.homebrew.ltd/)
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- **Original License:** [License](https://llama.meta.com/llama3/license/)
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- **Papers:** [Llama-3 Blog](https://llama.meta.com/llama3/)
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