# ROCmLibs **Repository Path**: godlin233/ROCmLibs ## Basic Information - **Project Name**: ROCmLibs - **Description**: https://github.com/brknsoul/ROCmLibs ι•œεƒεΊ“ - **Primary Language**: Unknown - **License**: AGPL-3.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-08-02 - **Last Updated**: 2025-08-02 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ### ROCm Library Files for "unsupported" AMD GPUs for use in Windows. This repo was created to host ROCm Library files for use in the ZLUDA CUDA Wrapper for AMD GPUs _(Note: Unless stated, these libraries only support HIP SDK 5.7.1)_ - Open Explorer and navigate to `%ProgramFiles%\AMD\ROCm\5.7\bin\rocblas\` - Make a backup of the library folder. - Download the relevant ROCm Library 7zip file and extract the library folder, overwriting any files there. - If the 7zip file also contains `rocblas.dll`, extract this into `%ProgramFiles%\AMD\ROCm\5.7\bin` #### Changes - Added Optimised_ROCmLibs_gfx1032.7z for gfx1032 (6600) - Added Optimised_ROCmLibs_gfx1031.7z for gfx1031 (6700) - Added rocm gfx1031 for HIP SDK 6.1.2 optimized.7z - Added gfx1031, gfx1032 for HIP SDK 6.2.4 - Added NewerROCmLibs.rar for HIP SDK 5.7.1. Might support gfx803. _(These are from a later version YellowRoseCX's Fork of KoboldCPP)_ - Added gfx902-vega8, (supports 2200g, 2400g, 3200g, 3400g). This libary requires an older version of torch; `pip install torch==2.2.1 torchvision==0.17.1 torchaudio==2.2.1 --index-url https://download.pytorch.org/whl/cu118` - Added rocm gfx1201 for rocm 6.2.4-no-optimized.7z for 9000 series GPUs. _(You'll need to install 7-zip or WinRAR to extract these archives.)_ --- For testing purposes, the old version of ROCmLibs.zip can be accessed on dropbox from [here](https://www.dropbox.com/scl/fi/qx0ritf10zqof3rlw3rfh/ROCmLibs.zip?rlkey=t8kmkbhm7muk6a26kxoexw0mb&st=kthr8d9f&dl=0). These libs were pulled from YellowRoseCx's ROCm [fork](https://github.com/YellowRoseCx/koboldcpp-rocm) of KoboldCPP.