Installation llama.cpp sous Windows 11 avec Ubuntu 22

Remi

C’est bon rocminfo fonctionne :

# 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 ***

Remi

Pas possible de faire le build :

# 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!

Remi

Aie …

# /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

Remi

Nouveau test : https://rocm.docs.amd.com/projects/llama-cpp/en/docs-25.08/install/llama-cpp-install.html

Remi

Lancement de docker :

# 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

Remi

Il faut déplacer votre distribution Ubuntu WSL vers un autre disque …

Remi

Aie …

#  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

Pourtant pas de problème de compilation avec https://rocm.docs.amd.com/projects/llama-cpp/en/docs-25.08/install/llama-cpp-install.html

Cela ne fonctionne pas :

# ./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

Alors que j’ai fait le build pour toutes les architectures :

export LLAMACPP_ROCM_ARCH=gfx803,gfx900,gfx906,gfx908,gfx90a,gfx942,gfx1010,gfx1030,gfx1032,gfx1100,gfx1101,gfx1102

Remi

J’essaye de déplacer …

PS C:\Windows\system32> wsl --list --verbose
  NAME      STATE           VERSION
* Ubuntu    Running         2
PS C:\Windows\system32> wsl --terminate Ubuntu
L’opération a réussi.
PS C:\Windows\system32> wsl --list --verbose
  NAME      STATE           VERSION
* Ubuntu    Stopped         2
PS C:\Windows\system32> 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> 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

Remi

Ouf …

PS C:\Windows\system32> wsl --shutdown
PS C:\Windows\system32> wsl --manage Ubuntu --move D:\WSL\Ubuntu
L’opération a réussi.

Remi

Nouveau build :

# 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=$LLAMACPP_ROCM_ARCH \
-DCMAKE_BUILD_TYPE=Release -DLLAMA_CURL=ON \
&& cmake --build build --config Release -j$(nproc)

Remi

Je vais essayer la version Docker :

# 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 [==>                                                ]  6.291MB/114.7MB
0f1832fb3fb1: Downloading [>                                                  ]  5.243MB/646.4MB
52ae0682347f: Downloading [======================================>            ]    107MB/138.7MB
b00fa23324d1: Pull complete

Remi

Pas mieux :

root@pcremi:/workspace/llama.cpp/build/bin# pwd
/workspace/llama.cpp/build/bin
root@pcremi:/workspace/llama.cpp/build/bin# ./llama-bench -m  /models/qwen2.5-1.5b-instruct-q4_k_m.gguf
ggml_cuda_init: found 1 ROCm devices (Total VRAM: 16304 MiB):
  Device 0: AMD Radeon RX 9060 XT, gfx1200 (0x1200), VMM: no, Wave Size: 32, VRAM: 16304 MiB
| model                          |       size |     params | backend    | ngl |            test |                  t/s |
| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |
Segmentation fault (core dumped)

Remi

Je fait un make install avant puis un nouveau test :

root@pcremi:/workspace/llama.cpp/build/bin# ./llama-bench -m  /models/Qwen3.6-27B-Q4_K_M.gguf
ggml_cuda_init: found 1 ROCm devices (Total VRAM: 16304 MiB):
  Device 0: AMD Radeon RX 9060 XT, gfx1200 (0x1200), VMM: no, Wave Size: 32, VRAM: 16304 MiB
| model                          |       size |     params | backend    | ngl |            test |                  t/s |
| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |
pid:3402 tid:0x757b61d04280 [CreateContext] fail 11
llama-bench: /home/remia/librocdxg/src/wddm/queue.cpp:267: wsl::thunk::ComputeQueue::ComputeQueue(wsl::thunk::WDDMDevice*, void*, uint64_t, std::atomic<long unsigned int>*, std::atomic<long unsigned int>*, volatile int64_t*, uint32_t, uint32_t, bool): Assertion `ret' failed.
Aborted (core dumped)

Pas mieux.

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Installation llama.cpp sous Windows 11 avec Ubuntu 22