moved update notice up
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@@ -12,6 +12,12 @@ This project provides pre-built containers (“toolboxes”) for running LLMs on
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* Seamless: shares your home and GPU devices, works like a native shell
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* Seamless: shares your home and GPU devices, works like a native shell
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* Flexible: easy to switch between Vulkan (open/closed drivers) and ROCm
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* Flexible: easy to switch between Vulkan (open/closed drivers) and ROCm
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## 🚨 Updates — 2025-09-28
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- Released **ROCm 6.4.4** toolboxes.
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- **ROCm-6.4.4+ROCWMMA** is the currently recommended one for most use-cases, but always check the benchmakrs to find the backend that performs better with your model architecture and quantization of choice -> [Performance Benchmarks (Key Results)](#3-performance-benchmarks-key-results)
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## Table of Contents
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## Table of Contents
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1. [Llama.cpp Compiled for Every Backend](#1-llamacpp-compiled-for-every-backend)
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1. [Llama.cpp Compiled for Every Backend](#1-llamacpp-compiled-for-every-backend)
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@@ -30,9 +36,6 @@ This project provides pre-built containers (“toolboxes”) for running LLMs on
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7. [More Documentation](#7-more-documentation)
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7. [More Documentation](#7-more-documentation)
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8. [References](#8-references)
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8. [References](#8-references)
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## 🚨 Updates — 2025-09-28
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Released ROCm 6.4.4 toolboxes. ROCm-6.4.4+ROCWMMA is the currently recommenede one for most use-cases, but always check the benchmakrs to find the backend that performs better with your model architecture and quantization of choice -> [Performance Benchmarks (Key Results)](#3-performance-benchmarks-key-results)
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## 1. Llama.cpp Compiled for Every Backend
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## 1. Llama.cpp Compiled for Every Backend
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