<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Installation llama.cpp sous Windows 11 avec Ubuntu 22]]></title><description><![CDATA[<p dir="auto">Le PC en question :</p>
<pre><code class="language-bash"># inxi -F
System:
  Host: pcremi Kernel: 6.18.33.1-microsoft-standard-WSL2 arch: x86_64 bits: 64
  Console: pty pts/2 Distro: Ubuntu 24.04.4 LTS (Noble Numbat)
Machine:
  Message: No machine data: try newer kernel. Is dmidecode installed? Try -M
    --dmidecode.
CPU:
  Info: 6-core model: AMD Ryzen 5 7500X3D bits: 64 type: MT MCP cache:
    L2: 6 MiB
  Speed (MHz): avg: 3992 min/max: N/A cores: 1: 3992 2: 3992 3: 3992 4: 3992
    5: 3992 6: 3992 7: 3992 8: 3992 9: 3992 10: 3992 11: 3992 12: 3992
Graphics:
  Device-1: Microsoft Basic Render Driver driver: dxgkrnl v: 2.0.3
  Device-2: Microsoft Basic Render Driver driver: dxgkrnl v: 2.0.3
  Display: server: X.Org v: 24.1.6 driver: dri: swrast gpu: dxgkrnl,dxgkrnl
    resolution: 3840x2160~60Hz
  API: EGL v: 1.5 drivers: swrast platforms: wayland,x11,surfaceless,device
  API: OpenGL v: 4.6 vendor: microsoft mesa v: 24.0.9-0ubuntu0.3
    renderer: D3D12 (AMD Radeon RX 9060 XT)
Audio:
  Message: No device data found.
Network:
  Message: No PCI device data found.
  IF-ID-1: eth0 state: up speed: 10000 Mbps duplex: full
    mac: 
Drives:
  Local Storage: total: 1 TiB used: 1.93 GiB (0.2%)
  ID-1: /dev/sda model: Virtual Disk size: 356.9 MiB
  ID-2: /dev/sdb model: Virtual Disk size: 159.5 MiB
  ID-3: /dev/sdc model: Virtual Disk size: 4 GiB
  ID-4: /dev/sdd model: Virtual Disk size: 1024 GiB
Partition:
  ID-1: / size: 1006.85 GiB used: 1.93 GiB (0.2%) fs: ext4 dev: /dev/sdd
Swap:
  ID-1: swap-1 type: partition size: 4 GiB used: 0 KiB (0.0%) dev: /dev/sdc
Sensors:
  Src: lm-sensors+/sys Message: No sensor data found using /sys/class/hwmon
    or lm-sensors.
Info:
  Memory: total: 16 GiB note: est. available: 15.2 GiB used: 775.9 MiB (5.0%)
  Processes: 30 Uptime: 5m Shell: Bash inxi: 3.3.34
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/topic/371/installation-llama.cpp-sous-windows-11-avec-ubuntu-22</link><generator>RSS for Node</generator><lastBuildDate>Fri, 07 Aug 2026 04:24:31 GMT</lastBuildDate><atom:link href="https://lemmy.cyber-neurones.org/topic/371.rss" rel="self" type="application/rss+xml"/><pubDate>Mon, 22 Jun 2026 17:30:55 GMT</pubDate><ttl>60</ttl><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 20:36:24 GMT]]></title><description><![CDATA[<p dir="auto">Je vais essayer la version Docker :</p>
<pre><code class="language-bash"># export MODEL_PATH='/models/'
# docker run --privileged            --network=host            --device=/dev/kfd            --device=/dev/dri            --group-add video            --cap-add=SYS_PTRACE            --security-opt seccomp=unconfined            --ipc=host            --shm-size 16G            -v $MODEL_PATH:/data            rocm/llama.cpp:llama.cpp-b5997_rocm6.4.0_ubuntu24.04_full              -m /data/Qwen3.6-27B-Q4_K_M.gguf              -p "Building a website can be done in 10 simple steps:" -n 512 --n-gpu-layers 999
Unable to find image 'rocm/llama.cpp:llama.cpp-b5997_rocm6.4.0_ubuntu24.04_full' locally
llama.cpp-b5997_rocm6.4.0_ubuntu24.04_full: Pulling from rocm/llama.cpp
757fe5b21110: Downloading [==&gt;                                                ]  6.291MB/114.7MB
0f1832fb3fb1: Downloading [&gt;                                                  ]  5.243MB/646.4MB
52ae0682347f: Downloading [======================================&gt;            ]    107MB/138.7MB
b00fa23324d1: Pull complete

</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/1185</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1185</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 20:36:24 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 20:30:38 GMT]]></title><description><![CDATA[<p dir="auto">Nouveau build :</p>
<pre><code class="language-bash"># export LLAMACPP_ROCM_ARCH=gfx803,gfx900,gfx906,gfx908,gfx90a,gfx942,gfx1010,gfx1030,gfx1032,gfx1100,gfx1101,gfx1102
# HIPCXX="$(hipconfig -l)/clang" HIP_PATH="$(hipconfig -R)" \
cmake -S . -B build -DGGML_HIP=ON -DAMDGPU_TARGETS=$LLAMACPP_ROCM_ARCH \
-DCMAKE_BUILD_TYPE=Release -DLLAMA_CURL=ON \
&amp;&amp; cmake --build build --config Release -j$(nproc)
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/1184</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1184</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 20:30:38 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 20:23:54 GMT]]></title><description><![CDATA[<p dir="auto">Ouf …</p>
<pre><code class="language-bash">PS C:\Windows\system32&gt; wsl --shutdown
PS C:\Windows\system32&gt; wsl --manage Ubuntu --move D:\WSL\Ubuntu
L’opération a réussi.
</code></pre>
<p dir="auto"><img src="/assets/uploads/files/1786047830689-f417abce-6cc9-4723-b712-739a50043ffc-image.png" alt="image.png" class=" img-fluid img-markdown" /></p>
]]></description><link>https://lemmy.cyber-neurones.org/post/1183</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1183</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 20:23:54 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 20:19:06 GMT]]></title><description><![CDATA[<p dir="auto">J’essaye de déplacer …</p>
<pre><code class="language-bash">PS C:\Windows\system32&gt; wsl --list --verbose
  NAME      STATE           VERSION
* Ubuntu    Running         2
PS C:\Windows\system32&gt; wsl --terminate Ubuntu
L’opération a réussi.
PS C:\Windows\system32&gt; wsl --list --verbose
  NAME      STATE           VERSION
* Ubuntu    Stopped         2
PS C:\Windows\system32&gt; wsl --manage Ubuntu --move D:\WSL\Ubuntu
Le processus ne peut pas accéder au fichier car ce fichier est utilisé par un autre processus.
Code d'erreur : Wsl/Service/MoveDistro/ERROR_SHARING_VIOLATION
PS C:\Windows\system32&gt; wsl --manage Ubuntu --move D:\WSL\Ubuntu
Le processus ne peut pas accéder au fichier car ce fichier est utilisé par un autre processus.
Code d'erreur : Wsl/Service/MoveDistro/ERROR_SHARING_VIOLATION
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/1182</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1182</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 20:19:06 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 20:17:26 GMT]]></title><description><![CDATA[<p dir="auto">Aie …</p>
<pre><code class="language-bash">#  llama-bench -m  /models/qwen2.5-1.5b-instruct-q4_k_m.gguf
llama-bench: error while loading shared libraries: libllama-bench-impl.so: cannot open shared object file: No such file or directory
</code></pre>
<p dir="auto">Pourtant pas de problème de compilation avec <a href="https://rocm.docs.amd.com/projects/llama-cpp/en/docs-25.08/install/llama-cpp-install.html" rel="nofollow ugc">https://rocm.docs.amd.com/projects/llama-cpp/en/docs-25.08/install/llama-cpp-install.html</a></p>
<p dir="auto">Cela ne fonctionne pas :</p>
<pre><code class="language-bash"># ./build/bin/test-backend-ops
ggml_cuda_init: failed to initialize ROCm: no ROCm-capable device is detected
Testing 1 devices

Backend 1/1: CPU
  Skipping CPU backend
1/1 backends passed
OK
</code></pre>
<p dir="auto">Alors que j’ai fait le build pour toutes les architectures :</p>
<pre><code class="language-bash">export LLAMACPP_ROCM_ARCH=gfx803,gfx900,gfx906,gfx908,gfx90a,gfx942,gfx1010,gfx1030,gfx1032,gfx1100,gfx1101,gfx1102
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/1181</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1181</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 20:17:26 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 19:56:58 GMT]]></title><description><![CDATA[<p dir="auto">Il faut déplacer votre distribution Ubuntu WSL vers un autre disque …</p>
<p dir="auto"><img src="/assets/uploads/files/1786046209449-4e9bee19-3cc4-4ff1-b8e6-bd7a4fa3bcbf-image.png" alt="image.png" class=" img-fluid img-markdown" /></p>
]]></description><link>https://lemmy.cyber-neurones.org/post/1180</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1180</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 19:56:58 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 19:45:25 GMT]]></title><description><![CDATA[<p dir="auto">Lancement de docker :</p>
<pre><code class="language-bash"># docker run -it       --name=$(whoami)_llamacpp       --privileged --network=host       --device=/dev/kfd --device=/dev/dri       --group-add video --cap-add=SYS_PTRACE       --security-opt seccomp=unconfined       --ipc=host --shm-size 16G       -v $MODEL_PATH:/data rocm/dev-ubuntu-24.04:6.4-complete
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/1179</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1179</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 19:45:25 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 19:43:38 GMT]]></title><description><![CDATA[<p dir="auto">Nouveau test : <a href="https://rocm.docs.amd.com/projects/llama-cpp/en/docs-25.08/install/llama-cpp-install.html" rel="nofollow ugc">https://rocm.docs.amd.com/projects/llama-cpp/en/docs-25.08/install/llama-cpp-install.html</a></p>
]]></description><link>https://lemmy.cyber-neurones.org/post/1178</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1178</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 19:43:38 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 19:34:50 GMT]]></title><description><![CDATA[<p dir="auto">Aie …</p>
<pre><code class="language-bash"># /opt/rocm/bin/hipconfig --full
Warning: HIP version file: "/opt/rocm-7.2.4/core-7.14/hip/share/hip/version" not found.  Cannot give HIP version information.
Warning: HIP version file: "/opt/rocm-7.2.4/core-7.14/hip/share/hip/version" not found.  Cannot give HIP version information.
HIP version:

==hipconfig
HIP_PATH           :/opt/rocm-7.2.4/core-7.14/hip
ROCM_PATH          :/opt/rocm-7.2.4/core-7.14
HIP_COMPILER       :clang
HIP_PLATFORM       :amd
HIP_RUNTIME        :rocclr
CPP_CONFIG         : -D__HIP_PLATFORM_HCC__= -D__HIP_PLATFORM_AMD__= -I/opt/rocm-7.2.4/core-7.14/hip/include -I/include

==hip-clang
HIP_CLANG_PATH     :/opt/rocm-7.2.4/core-7.14/lib/llvm/bin
AMD clang version 23.0.0git (https://github.com/ROCm/llvm-project.git 46fcb339fb61119b337f973c7ca9e710a319fdd0+PATCHED:440716f8b87be9d8e20ed910e10e5b6d14d57cf6)
Target: x86_64-unknown-linux-gnu
Thread model: posix
InstalledDir: /opt/rocm-7.2.4/core-7.14/lib/llvm/bin
sh: 1: /opt/rocm-7.2.4/core-7.14/lib/llvm/bin/llc: not found
hip-clang-cxxflags :
sh: 1: /opt/rocm-7.2.4/core-7.14/hip/bin/hipcc: not found

hip-clang-ldflags :
sh: 1: /opt/rocm-7.2.4/core-7.14/hip/bin/hipcc: not found


== Environment Variables
PATH =/opt/vulkan-sdk/x86_64/bin:/root/.nvm/versions/node/v26.3.1/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
LD_LIBRARY_PATH=/opt/vulkan-sdk/x86_64/lib/VulkanLoader/lib
HIP_PATH=/opt/rocm-7.2.4/core-7.14/hip

== Linux Kernel
Hostname      :
pcremi
Linux pcremi 6.18.33.1-microsoft-standard-WSL2 #1 SMP PREEMPT_DYNAMIC Fri Jun  5 01:12:21 UTC 2026 x86_64 x86_64 x86_64 GNU/Linux
No LSB modules are available.
Distributor ID: Ubuntu
Description:    Ubuntu 24.04.4 LTS
Release:        24.04
Codename:       noble

</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/1177</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1177</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 19:34:50 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 19:31:45 GMT]]></title><description><![CDATA[<p dir="auto">Pas possible de faire le build :</p>
<pre><code class="language-bash"># cmake .. -G Ninja   -DCMAKE_C_COMPILER=/opt/rocm/llvm/bin/clang   -DCMAKE_CXX_COMPILER=/opt/rocm/llvm/bin/clang++   -DCMAKE_CXX_FLAGS="-I/opt/rocm/include"   -DCMAKE_CROSSCOMPILING=ON   -DCMAKE_BUILD_TYPE=Release   -DGPU_TARGETS="gfx1151"   -DBUILD_SHARED_LIBS=ON   -DLLAMA_BUILD_TESTS=OFF   -DGGML_HIP=ON   -DGGML_OPENMP=OFF   -DGGML_CUDA_FORCE_CUBLAS=OFF   -DGGML_HIP_ROCWMMA_FATTN=OFF   -DLLAMA_CURL=OFF   -DGGML_NATIVE=OFF   -DGGML_STATIC=OFF   -DCMAKE_SYSTEM_NAME=Linux -DCMAKE_HIP_COMPILER_ROCM_ROOT=/opt/rocm-7.2.4/core-7.14 -DCMAKE_PREFIX_PATH=/opt/rocm-7.2.4/core-7.14
CMAKE_BUILD_TYPE=Release
-- Setting GGML_NATIVE_DEFAULT to OFF
-- Warning: ccache not found - consider installing it for faster compilation or disable this warning with GGML_CCACHE=OFF
-- CMAKE_SYSTEM_PROCESSOR:
-- GGML_SYSTEM_ARCH: UNKNOWN
-- Including CPU backend
CMake Warning at ggml/src/ggml-cpu/CMakeLists.txt:570 (message):
  Unknown CPU architecture.  Falling back to generic implementations.
Call Stack (most recent call first):
  ggml/src/CMakeLists.txt:470 (ggml_add_cpu_backend_variant_impl)


-- Adding CPU backend variant ggml-cpu: -DGGML_CPU_GENERIC
-- The HIP compiler identification is unknown
CMake Error at /usr/share/cmake-3.28/Modules/CMakeDetermineHIPCompiler.cmake:217 (message):
  The ROCm root directory:

   /opt/rocm-7.2.4/core-7.14

  does not contain the HIP runtime CMake package, expected at one of:

   /opt/rocm-7.2.4/core-7.14/lib/cmake/hip-lang/hip-lang-config.cmake
   /opt/rocm-7.2.4/core-7.14/lib64/cmake/hip-lang/hip-lang-config.cmake

Call Stack (most recent call first):
  ggml/src/ggml-hip/CMakeLists.txt:43 (enable_language)

-- Configuring incomplete, errors occurred!
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/1176</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1176</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 19:31:45 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 19:23:08 GMT]]></title><description><![CDATA[<p dir="auto">C’est bon rocminfo fonctionne :</p>
<pre><code class="language-bash"># rocminfo
WSL environment detected.
=====================
HSA System Attributes
=====================
Runtime Version:         1.21
Runtime Ext Version:     1.26
System Timestamp Freq.:  1000.000000MHz
Sig. Max Wait Duration:  18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count)
Machine Model:           LARGE
System Endianness:       LITTLE
Mwaitx:                  DISABLED
XNACK enabled:           NO
DMAbuf Support:          YES
VMM Support:             YES
Fabric Support:          NO

==========
HSA Agents
==========
*******
Agent 1
*******
  Name:                    AMD Ryzen 5 7500X3D 6-Core Processor
  Uuid:                    CPU-XX
  Marketing Name:          AMD Ryzen 5 7500X3D 6-Core Processor
  Vendor Name:             CPU
  Feature:                 None specified
  Profile:                 FULL_PROFILE
  Float Round Mode:        NEAR
  Max Queue Number:        0(0x0)
  Queue Min Size:          0(0x0)
  Queue Max Size:          0(0x0)
  Queue Type:              MULTI
  Node:                    0
  Device Type:             CPU
  Cache Info:
    L1:                      32768(0x8000) KB
  Chip ID:                 0(0x0)
  Cacheline Size:          64(0x40)
  BDFID:                   0
  Internal Node ID:        0
  Compute Unit:            12
  SIMDs per CU:            0
  Shader Engines:          0
  Shader Arrs. per Eng.:   0
  Memory Properties:
  Features:                None
  Pool Info:
    Pool 1
      Segment:                 GLOBAL; FLAGS: FINE GRAINED
      Size:                    15940236(0xf33a8c) KB
      Allocatable:             TRUE
      Alloc Granule:           4KB
      Alloc Recommended Granule:4KB
      Alloc Alignment:         4KB
      Accessible by all:       TRUE
    Pool 2
      Segment:                 GLOBAL; FLAGS: EXTENDED FINE GRAINED
      Size:                    15940236(0xf33a8c) KB
      Allocatable:             TRUE
      Alloc Granule:           4KB
      Alloc Recommended Granule:4KB
      Alloc Alignment:         4KB
      Accessible by all:       TRUE
    Pool 3
      Segment:                 GLOBAL; FLAGS: KERNARG, FINE GRAINED
      Size:                    15940236(0xf33a8c) KB
      Allocatable:             TRUE
      Alloc Granule:           4KB
      Alloc Recommended Granule:4KB
      Alloc Alignment:         4KB
      Accessible by all:       TRUE
    Pool 4
      Segment:                 GLOBAL; FLAGS: COARSE GRAINED
      Size:                    15940236(0xf33a8c) KB
      Allocatable:             TRUE
      Alloc Granule:           4KB
      Alloc Recommended Granule:4KB
      Alloc Alignment:         4KB
      Accessible by all:       TRUE
  ISA Info:
*******
Agent 2
*******
  Name:                    gfx1200
  Uuid:                    GPU-a7d3e620dff8c443
  Marketing Name:          AMD Radeon RX 9060 XT
  Vendor Name:             AMD
  Feature:                 KERNEL_DISPATCH
  Profile:                 BASE_PROFILE
  Float Round Mode:        NEAR
  Max Queue Number:        128(0x80)
  Queue Min Size:          64(0x40)
  Queue Max Size:          131072(0x20000)
  Queue Type:              MULTI
  Node:                    1
  Device Type:             GPU
  Cache Info:
    L1:                      32(0x20) KB
    L3:                      32768(0x8000) KB
  Chip ID:                 30096(0x7590)
  Cacheline Size:          64(0x40)
  Max Clock Freq. (MHz):   2620
  BDFID:                   768
  Internal Node ID:        1
  Compute Unit:            32
  SIMDs per CU:            2
  Shader Engines:          2
  Shader Arrs. per Eng.:   2
  Coherent Host Access:    FALSE
  Memory Properties:
  Features:                KERNEL_DISPATCH
  Fast F16 Operation:      TRUE
  Wavefront Size:          32(0x20)
  Workgroup Max Size:      1024(0x400)
  Workgroup Max Size per Dimension:
    x                        1024(0x400)
    y                        1024(0x400)
    z                        1024(0x400)
  Max Waves Per CU:        32(0x20)
  Max Work-item Per CU:    1024(0x400)
  Grid Max Size:           4294967295(0xffffffff)
  Grid Max Size per Dimension:
    x                        4294967295(0xffffffff)
    y                        65535(0xffff)
    z                        65535(0xffff)
  Max fbarriers/Workgrp:   32
  Packet Processor uCode:: 68
  SDMA engine uCode::      0
  IOMMU Support::          None
  Pool Info:
    Pool 1
      Segment:                 GLOBAL; FLAGS: COARSE GRAINED
      Size:                    16695296(0xfec000) KB
      Allocatable:             TRUE
      Alloc Granule:           4KB
      Alloc Recommended Granule:2048KB
      Alloc Alignment:         4KB
      Accessible by all:       FALSE
    Pool 2
      Segment:                 GROUP
      Size:                    64(0x40) KB
      Allocatable:             FALSE
      Alloc Granule:           0KB
      Alloc Recommended Granule:0KB
      Alloc Alignment:         0KB
      Accessible by all:       FALSE
  ISA Info:
    ISA 1
      Name:                    amdgcn-amd-amdhsa--gfx1200
      Machine Models:          HSA_MACHINE_MODEL_LARGE
      Profiles:                HSA_PROFILE_BASE
      Default Rounding Mode:   NEAR
      Default Rounding Mode:   NEAR
      Fast f16:                TRUE
      Workgroup Max Size:      1024(0x400)
      Workgroup Max Size per Dimension:
        x                        1024(0x400)
        y                        1024(0x400)
        z                        1024(0x400)
      Grid Max Size:           4294967295(0xffffffff)
      Grid Max Size per Dimension:
        x                        2147483647(0x7fffffff)
        y                        65535(0xffff)
        z                        65535(0xffff)
      FBarrier Max Size:       32
    ISA 2
      Name:                    amdgcn-amd-amdhsa--gfx12-generic
      Machine Models:          HSA_MACHINE_MODEL_LARGE
      Profiles:                HSA_PROFILE_BASE
      Default Rounding Mode:   NEAR
      Default Rounding Mode:   NEAR
      Fast f16:                TRUE
      Workgroup Max Size:      1024(0x400)
      Workgroup Max Size per Dimension:
        x                        1024(0x400)
        y                        1024(0x400)
        z                        1024(0x400)
      Grid Max Size:           4294967295(0xffffffff)
      Grid Max Size per Dimension:
        x                        2147483647(0x7fffffff)
        y                        65535(0xffff)
        z                        65535(0xffff)
      FBarrier Max Size:       32
*** Done ***
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/1175</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1175</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 19:23:08 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 19:18:00 GMT]]></title><description><![CDATA[<p dir="auto">Installation de Visual Studio : <a href="https://visualstudio.microsoft.com/" rel="nofollow ugc">https://visualstudio.microsoft.com/</a> .<br />
Installation du Windows SDK : <a href="https://learn.microsoft.com/fr-fr/windows/apps/windows-sdk/" rel="nofollow ugc">https://learn.microsoft.com/fr-fr/windows/apps/windows-sdk/</a></p>
<p dir="auto">J’ai donc fait un nouvel export :</p>
<pre><code class="language-bash"># export win_sdk=/mnt/c/Program\ Files\ \(x86\)/Windows\ Kits/10/Include/10.0.28000.0/
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/1174</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1174</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 19:18:00 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 19:03:58 GMT]]></title><description><![CDATA[<p dir="auto">Compilation :</p>
<pre><code class="language-bash">#  git clone https://github.com/ROCm/librocdxg
#  cd librocdxg
# export win_sdk='/mnt/c/Program Files (x86)/Windows Kits/10/Include/10.0.26100.0'
# mkdir -p build
# cd build
# cmake .. -DWIN_SDK="${win_sdk}/shared"
# make
# sudo make install
</code></pre>
<p dir="auto">Erreur :</p>
<pre><code class="language-bash"># make
[  3%] Building CXX object shared/CMakeFiles/dxg_shared.dir/src/dxcore_loader.cpp.o
In file included from /home/remia/librocdxg/shared/../shared/include/dxcore_loader.h:26,
                 from /home/remia/librocdxg/shared/src/dxcore_loader.cpp:5:
/home/remia/librocdxg/shared/../shared/include/d3dkmt_types.h:47:10: fatal error: ntstatus.h: No such file or directory
   47 | #include &lt;ntstatus.h&gt;
      |          ^~~~~~~~~~~~
compilation terminated.
make[2]: *** [shared/CMakeFiles/dxg_shared.dir/build.make:76: shared/CMakeFiles/dxg_shared.dir/src/dxcore_loader.cpp.o] Error 1
make[1]: *** [CMakeFiles/Makefile2:126: shared/CMakeFiles/dxg_shared.dir/all] Error 2
make: *** [Makefile:156: all] Error 2
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/1173</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1173</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 19:03:58 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 18:57:29 GMT]]></title><description><![CDATA[<p dir="auto">Aie …</p>
<pre><code class="language-bash"># rocminfo
WSL environment detected.
Cannot load librocdxg.so, failed:librocdxg.so: cannot open shared object file: No such file or directory
GetExportAddress failed: /opt/rocm-7.2.4/core-7.14/bin/../lib/libhsa-runtime64.so.1: undefined symbol: hsaKmtOpenKFD
hsa_init Failed, possibly no supported GPU devices
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/1172</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1172</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 18:57:29 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 18:47:16 GMT]]></title><description><![CDATA[<p dir="auto">Je vais faire :</p>
<pre><code class="language-bash"># amdgpu-install --usecase=rocm,opencl --no-dkms
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/1171</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1171</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 18:47:16 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 18:44:36 GMT]]></title><description><![CDATA[<p dir="auto">Aie …</p>
<pre><code class="language-bash"># amdgpu-install --usecase=rocm,graphics --gfxversion=all
INFO: Using generic amdrocm packages (--gfxversion=all)
INFO: i386 architecture has not been enabled with dpkg.
Installation of 32-bit run time has been excluded.

Some packages could not be installed. This may mean that you have
requested an impossible situation or if you are using the unstable
distribution that some required packages have not yet been created
or been moved out of Incoming.
The following information may help to resolve the situation:

The following packages have unmet dependencies:
 libegl1-amdgpu-mesa : Depends: libwayland-client0 (&gt;= 1.24.0) but 1.22.0-2.1build1 is to be installed
 mesa-amdgpu-libgallium : Depends: libc6 (&gt;= 2.43) but 2.39-0ubuntu8.8 is to be installed
E: Unable to correct problems, you have held broken packages
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/1170</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1170</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 18:44:36 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Thu, 06 Aug 2026 18:35:19 GMT]]></title><description><![CDATA[<p dir="auto">Installation :<br />
<a href="https://rocm.docs.amd.com/en/latest/install/rocm.html?fam=all&amp;w=graphics&amp;os=ubuntu&amp;ubuntu-ver=26.04" rel="nofollow ugc">https://rocm.docs.amd.com/en/latest/install/rocm.html?fam=all&amp;w=graphics&amp;os=ubuntu&amp;ubuntu-ver=26.04</a></p>
]]></description><link>https://lemmy.cyber-neurones.org/post/1169</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/1169</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Thu, 06 Aug 2026 18:35:19 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Tue, 23 Jun 2026 07:24:55 GMT]]></title><description><![CDATA[<p dir="auto">Visiblement c’est pas top sur WSL2 :</p>
<ul>
<li><a href="https://github.com/ggml-org/llama.cpp/issues/23999" rel="nofollow ugc">https://github.com/ggml-org/llama.cpp/issues/23999</a></li>
<li><a href="https://github.com/ggml-org/llama.cpp/issues/20545" rel="nofollow ugc">https://github.com/ggml-org/llama.cpp/issues/20545</a></li>
</ul>
]]></description><link>https://lemmy.cyber-neurones.org/post/947</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/947</guid><dc:creator><![CDATA[Tuxedo17]]></dc:creator><pubDate>Tue, 23 Jun 2026 07:24:55 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Tue, 23 Jun 2026 07:17:42 GMT]]></title><description><![CDATA[<p dir="auto">Il faut installer Rocm : <a href="https://github.com/ROCm/rocm" rel="nofollow ugc">https://github.com/ROCm/rocm</a></p>
<p dir="auto">Voir : <a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/quick-start.html" rel="nofollow ugc">https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/quick-start.html</a></p>
<p dir="auto">Pour Ubuntu 24 :</p>
<pre><code class="language-bash">wget https://repo.radeon.com/amdgpu-install/7.2.4/ubuntu/noble/amdgpu-install_7.2.4.70204-1_all.deb
sudo apt install ./amdgpu-install_7.2.4.70204-1_all.deb
sudo apt update

sudo apt install "linux-headers-$(uname -r)" "linux-modules-extra-$(uname -r)"
sudo apt install amdgpu-dkms

sudo apt install python3-setuptools python3-wheel
sudo usermod -a -G render,video $LOGNAME 
sudo apt install rocm
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/946</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/946</guid><dc:creator><![CDATA[Tuxedo17]]></dc:creator><pubDate>Tue, 23 Jun 2026 07:17:42 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Mon, 22 Jun 2026 18:18:13 GMT]]></title><description><![CDATA[<p dir="auto">A lire : <a href="https://dev.to/nicholaswiseman/local-llm-inference-on-windows-11-and-amd-gpu-using-wsl-and-llamacpp-36e7" rel="nofollow ugc">https://dev.to/nicholaswiseman/local-llm-inference-on-windows-11-and-amd-gpu-using-wsl-and-llamacpp-36e7</a></p>
]]></description><link>https://lemmy.cyber-neurones.org/post/944</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/944</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Mon, 22 Jun 2026 18:18:13 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Mon, 22 Jun 2026 18:16:00 GMT]]></title><description><![CDATA[<p dir="auto">Chargement d’un nouveau modèle :</p>
<pre><code class="language-bash">curl -L -o mistral.gguf \
https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GGUF/resolve/main/mistral-7b-instruct-v0.2.Q4_K_M.gguf
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/943</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/943</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Mon, 22 Jun 2026 18:16:00 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Mon, 22 Jun 2026 18:11:37 GMT]]></title><description><![CDATA[<p dir="auto">Vulkan :</p>
<pre><code class="language-bash"># vulkaninfo | grep -i "deviceName"
WARNING: [Loader Message] Code 0 : terminator_CreateInstance: Received return code -3 from call to vkCreateInstance in ICD /usr/lib/x86_64-linux-gnu/libvulkan_virtio.so. Skipping this driver.
        deviceName        = llvmpipe (LLVM 17.0.6, 256 bits)
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/942</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/942</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Mon, 22 Jun 2026 18:11:37 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Mon, 22 Jun 2026 17:58:27 GMT]]></title><description><![CDATA[<p dir="auto"><a href="https://openclaw.ai/" rel="nofollow ugc">https://openclaw.ai/</a></p>
]]></description><link>https://lemmy.cyber-neurones.org/post/941</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/941</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Mon, 22 Jun 2026 17:58:27 GMT</pubDate></item><item><title><![CDATA[Reply to Installation llama.cpp sous Windows 11 avec Ubuntu 22 on Mon, 22 Jun 2026 17:53:32 GMT]]></title><description><![CDATA[<p dir="auto">Test du modèle : Qwen3.6-27B-Q4_K_M.gguf</p>
<pre><code class="language-bash"># curl -L --fail -o /models/Qwen3.6-27B-Q4_K_M.gguf  https://huggingface.co/unsloth/Qwen3.6-27B-MTP-GGUF/resolve/main/Qwen3.6-27B-Q4_K_M.gguf?download=true
</code></pre>
]]></description><link>https://lemmy.cyber-neurones.org/post/940</link><guid isPermaLink="true">https://lemmy.cyber-neurones.org/post/940</guid><dc:creator><![CDATA[Remi]]></dc:creator><pubDate>Mon, 22 Jun 2026 17:53:32 GMT</pubDate></item></channel></rss>