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README.md
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---
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license:
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inference: false
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tags:
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---
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# llama-3.1-instruct-ov
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<!-- Provide a quick summary of what the model is/does. -->
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**
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[**
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Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino)
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### Model Description
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- **Developed by:**
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- **Model type:**
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- **Parameters:**
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- **Model Parent:**
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- **Language(s) (NLP):** English
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- **License:**
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- **Uses:**
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- **RAG Benchmark Accuracy Score:**
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- **Quantization:** int4
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[llmware on hf](https://www.huggingface.co/llmware)
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[llmware website](https://www.llmware.ai)
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license: llama3
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inference: false
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tags:
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- green
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- p8
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- llmware-chat
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- ov
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---
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# llama-3.1-instruct-ov
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<!-- Provide a quick summary of what the model is/does. -->
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**llama-3.1-instruct-ov-ov** is an OpenVino int4 quantized version of Llama 3.1 Instruct, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
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[**llama-3.1-instruct**](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) is a leading open source general foundation model from Meta.
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Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino)
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### Model Description
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- **Developed by:** meta-llama
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- **Model type:** llama-3.1
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- **Parameters:** 8 billion
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- **Model Parent:** meta-llama/Meta-Llama-3.1-8B-Instruct
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- **Language(s) (NLP):** English
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- **License:** Llama 3.1 Community License
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- **Uses:** General chat use cases
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- **RAG Benchmark Accuracy Score:** NA
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- **Quantization:** int4
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[llmware on hf](https://www.huggingface.co/llmware)
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[llmware website](https://www.llmware.ai)
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