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license: mit |
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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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