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@@ -3,12 +3,12 @@ tags:
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  - npu
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  - amd
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  - llama3
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- - Ryzen AI
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  ---
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  This model is [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) AWQ quantized and converted version to run on the [NPU installed Ryzen AI PC](https://github.com/amd/RyzenAI-SW/issues/18), for example, Ryzen 9 7940HS Processor.
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- For set up Ryzen AI for LLMs in window 11, see [Running LLM on AMD NPU Hardware](https://www.hackster.io/gharada2013/running-llm-on-amd-npu-hardware-19322f).
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  The following sample assumes that the setup on the above page has been completed.
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@@ -18,6 +18,10 @@ This model has only been tested on RyzenAI for Windows 11. It does not work in L
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  - I found that quantizing lm_head reduces performance, so I replaced model with a non-lm_head quantized version.
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  - [llama 3.1 npu version](https://huggingface.co/dahara1/llama3.1-8b-Instruct-amd-npu) has been uploaded.
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  ### setup
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  In cmd windows.
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  ```
 
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  - npu
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  - amd
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  - llama3
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+ - RyzenAI
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  ---
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  This model is [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) AWQ quantized and converted version to run on the [NPU installed Ryzen AI PC](https://github.com/amd/RyzenAI-SW/issues/18), for example, Ryzen 9 7940HS Processor.
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+ For set up RyzenAI for LLMs in window 11, see [Running LLM on AMD NPU Hardware](https://www.hackster.io/gharada2013/running-llm-on-amd-npu-hardware-19322f).
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  The following sample assumes that the setup on the above page has been completed.
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  - I found that quantizing lm_head reduces performance, so I replaced model with a non-lm_head quantized version.
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  - [llama 3.1 npu version](https://huggingface.co/dahara1/llama3.1-8b-Instruct-amd-npu) has been uploaded.
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+ 2024/07/30
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+ - [Ryzen AI Software 1.2](https://ryzenai.docs.amd.com/en/latest/) has been released. Please note that this model is based on [Ryzen AI Software 1.1](https://ryzenai.docs.amd.com/en/1.1/index.html) and operation with 1.2 has not been confirmed.
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+
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+
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  ### setup
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  In cmd windows.
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  ```