Open snoweuph opened 6 months ago
Hi, sorry for not answering the issue, I was taking a break, I will work on this for today's update
Ohh nice, Thats pretty fast response, thanks ^^
By the way, now that I'm going to add overrides for the Ollama instance into the gui, is there any other override you think I should add?
I just added this feature, if you want any other override let me know
https://github.com/Jeffser/Alpaca/commit/fff3a68b29b267c402c5c6968bb5ef59d607502c
By the way, now that I'm going to add overrides for the Ollama instance into the gui, is there any other override you think I should add?
You should prolly add: CUDA_VISIBLE_DEVICES for GPU Selection on Cuda And for AMD ROCM you should add HIP_VISIBLE_DEVICES
I just added this feature, if you want any other override let me know
Cant wait to test it in the next release
Override doesnt seem to work; Is there some kind of ollama log for the inside model?
Ollama should output everything as far as I know, do you know if Ollama has different binaries for cpu and gpu usage?
I dont know, but it says differnt things when running the installer
and they have different Docker images, for me:
docker run --env HSA_OVERRIDE_GFX_VERSION=10.3.0 -d --device /dev/kfd --device /dev/dri -v ollama:/root/.ollama -p 11434:11434 --name ollama docker.io/ollama/ollama:rocm
works
I see, it has a different tag so it's probably different
it is basicly the command for amd in docker from the doc + my overide
https://github.com/ollama/ollama/blob/main/docs/linux.md
It says here you need to install rocm, that could be it
I see, it has a different tag so it's probably different
I would exspect that to, or it is jsut named different, becuase it bundles the rocm library with itselve
https://github.com/ollama/ollama/blob/main/docs/linux.md
It says here you need to install rocm, that could be it
you will have to get all required libs inside of the flatpak, system libraries wont help
I thought you allready had all needed libs in the flatpak
I didn't know it needed ROCM, honestly I didn't even know it was a different thing, I thought the amdgpu driver would work out of the box
no, rocm is what nvvidia toolkit is, but for amd
I see, I'll work on this for next release, thanks for pointing it out, I don't have a compatible AMD GPU so I couldn't test it haha
also I wouldt even be able to get the libraries instaled on my system, becuase im running an immutable one, but its working inside the docker, so it should also be able to get it work with the flatpak
I see, I'll work on this for next release, thanks for pointing it out, I don't have a compatible AMD GPU so I couldn't test it haha
mine isnt 100% supported, but near enough and works flawlessley when using the override with the docker container
I see, I'll work on this for next release, thanks for pointing it out, I don't have a compatible AMD GPU so I couldn't test it haha
then good luck, just tell me when you need a tester xD
btw what distro do you use? I've been wanting to use an immutable distro for my laptop
I installed rocm-flatpak and set Alpaca to use that flatpak driver, but I'm also unable to get it to use my 7900xtx. Any ideas?
The flatpak driver recognizes my gpu fine so I'm not sure why it's not being used.
$ env OCL_ICD_VENDORS=/usr/lib/x86_64-linux-gnu/GL/ROCm/OpenCL/vendors FLATPAK_GL_DRIVERS=ROCm:default flatpak run --device=all --command=/bin/bash --devel org.freedesktop.Platform.ClInfo
[📦 org.freedesktop.Platform.ClInfo ~]$ clinfo
Number of platforms 1
Platform Name AMD Accelerated Parallel Processing
Platform Vendor Advanced Micro Devices, Inc.
Platform Version OpenCL 2.1 AMD-APP (3602.0)
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_icd cl_amd_event_callback
Platform Extensions function suffix AMD
Platform Host timer resolution 1ns
Platform Name AMD Accelerated Parallel Processing
Number of devices 1
Device Name gfx1100
Device Vendor Advanced Micro Devices, Inc.
Device Vendor ID 0x1002
Device Version OpenCL 2.0
Driver Version 3602.0 (HSA1.1,LC)
Device OpenCL C Version OpenCL C 2.0
Device Type GPU
Device Board Name (AMD) AMD Radeon RX 7900 XTX
Device PCI-e ID (AMD) 0x744c
Device Topology (AMD) PCI-E, 0000:0d:00.0
Device Profile FULL_PROFILE
Device Available Yes
Compiler Available Yes
Linker Available Yes
Max compute units 48
SIMD per compute unit (AMD) 4
SIMD width (AMD) 32
SIMD instruction width (AMD) 1
Max clock frequency 2304MHz
Graphics IP (AMD) 11.0
Device Partition (core)
Max number of sub-devices 48
Supported partition types None
Supported affinity domains (n/a)
Max work item dimensions 3
Max work item sizes 1024x1024x1024
Max work group size 256
Preferred work group size (AMD) 256
Max work group size (AMD) 1024
Preferred work group size multiple (kernel) 32
Wavefront width (AMD) 32
Preferred / native vector sizes
char 4 / 4
short 2 / 2
int 1 / 1
long 1 / 1
half 1 / 1 (cl_khr_fp16)
float 1 / 1
double 1 / 1 (cl_khr_fp64)
Half-precision Floating-point support (cl_khr_fp16)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Single-precision Floating-point support (core)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Correctly-rounded divide and sqrt operations Yes
Double-precision Floating-point support (cl_khr_fp64)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Address bits 64, Little-Endian
Global memory size 25753026560 (23.98GiB)
Global free memory (AMD) 24946688 (23.79GiB) 24946688 (23.79GiB)
Global memory channels (AMD) 12
Global memory banks per channel (AMD) 4
Global memory bank width (AMD) 256 bytes
Error Correction support No
Max memory allocation 21890072576 (20.39GiB)
Unified memory for Host and Device No
Shared Virtual Memory (SVM) capabilities (core)
Coarse-grained buffer sharing Yes
Fine-grained buffer sharing Yes
Fine-grained system sharing No
Atomics No
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Preferred alignment for atomics
SVM 0 bytes
Global 0 bytes
Local 0 bytes
Max size for global variable 21890072576 (20.39GiB)
Preferred total size of global vars 25753026560 (23.98GiB)
Global Memory cache type Read/Write
Global Memory cache size 32768 (32KiB)
Global Memory cache line size 64 bytes
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 134217728 pixels
Max 1D or 2D image array size 8192 images
Base address alignment for 2D image buffers 256 bytes
Pitch alignment for 2D image buffers 256 pixels
Max 2D image size 16384x16384 pixels
Max 3D image size 16384x16384x8192 pixels
Max number of read image args 128
Max number of write image args 8
Max number of read/write image args 64
Max number of pipe args 16
Max active pipe reservations 16
Max pipe packet size 415236096 (396MiB)
Local memory type Local
Local memory size 65536 (64KiB)
Local memory size per CU (AMD) 65536 (64KiB)
Local memory banks (AMD) 32
Max number of constant args 8
Max constant buffer size 21890072576 (20.39GiB)
Preferred constant buffer size (AMD) 16384 (16KiB)
Max size of kernel argument 1024
Queue properties (on host)
Out-of-order execution No
Profiling Yes
Queue properties (on device)
Out-of-order execution Yes
Profiling Yes
Preferred size 262144 (256KiB)
Max size 8388608 (8MiB)
Max queues on device 1
Max events on device 1024
Prefer user sync for interop Yes
Number of P2P devices (AMD) 0
Profiling timer resolution 1ns
Profiling timer offset since Epoch (AMD) 0ns (Wed Dec 31 19:00:00 1969)
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
Thread trace supported (AMD) No
Number of async queues (AMD) 8
Max real-time compute queues (AMD) 8
Max real-time compute units (AMD) 48
printf() buffer size 4194304 (4MiB)
Built-in kernels (n/a)
Device Extensions cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_gl_sharing cl_amd_device_attribute_query cl_amd_media_ops cl_amd_media_ops2 cl_khr_image2d_from_buffer cl_khr_subgroups cl_khr_depth_images cl_amd_copy_buffer_p2p cl_amd_assembly_program
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) AMD Accelerated Parallel Processing
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [AMD]
clCreateContext(NULL, ...) [default] Success [AMD]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (1)
Platform Name AMD Accelerated Parallel Processing
Device Name gfx1100
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) Success (1)
Platform Name AMD Accelerated Parallel Processing
Device Name gfx1100
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) Success (1)
Platform Name AMD Accelerated Parallel Processing
Device Name gfx1100
ICD loader properties
ICD loader Name OpenCL ICD Loader
ICD loader Vendor OCL Icd free software
ICD loader Version 2.3.2
ICD loader Profile OpenCL 3.0
Ollama does utilize my GPU properly when installed on the host. I'm on Fedora40.
I installed rocm-flatpak and set Alpaca to use that flatpak driver, but I'm also unable to get it to use my 7900xtx. Any ideas?
The flatpak driver recognizes my gpu fine so I'm not sure why it's not being used.
$ env OCL_ICD_VENDORS=/usr/lib/x86_64-linux-gnu/GL/ROCm/OpenCL/vendors FLATPAK_GL_DRIVERS=ROCm:default flatpak run --device=all --command=/bin/bash --devel org.freedesktop.Platform.ClInfo [📦 org.freedesktop.Platform.ClInfo ~]$ clinfo Number of platforms 1 Platform Name AMD Accelerated Parallel Processing Platform Vendor Advanced Micro Devices, Inc. Platform Version OpenCL 2.1 AMD-APP (3602.0) Platform Profile FULL_PROFILE Platform Extensions cl_khr_icd cl_amd_event_callback Platform Extensions function suffix AMD Platform Host timer resolution 1ns Platform Name AMD Accelerated Parallel Processing Number of devices 1 Device Name gfx1100 Device Vendor Advanced Micro Devices, Inc. Device Vendor ID 0x1002 Device Version OpenCL 2.0 Driver Version 3602.0 (HSA1.1,LC) Device OpenCL C Version OpenCL C 2.0 Device Type GPU Device Board Name (AMD) AMD Radeon RX 7900 XTX Device PCI-e ID (AMD) 0x744c Device Topology (AMD) PCI-E, 0000:0d:00.0 Device Profile FULL_PROFILE Device Available Yes Compiler Available Yes Linker Available Yes Max compute units 48 SIMD per compute unit (AMD) 4 SIMD width (AMD) 32 SIMD instruction width (AMD) 1 Max clock frequency 2304MHz Graphics IP (AMD) 11.0 Device Partition (core) Max number of sub-devices 48 Supported partition types None Supported affinity domains (n/a) Max work item dimensions 3 Max work item sizes 1024x1024x1024 Max work group size 256 Preferred work group size (AMD) 256 Max work group size (AMD) 1024 Preferred work group size multiple (kernel) 32 Wavefront width (AMD) 32 Preferred / native vector sizes char 4 / 4 short 2 / 2 int 1 / 1 long 1 / 1 half 1 / 1 (cl_khr_fp16) float 1 / 1 double 1 / 1 (cl_khr_fp64) Half-precision Floating-point support (cl_khr_fp16) Denormals Yes Infinity and NANs Yes Round to nearest Yes Round to zero Yes Round to infinity Yes IEEE754-2008 fused multiply-add Yes Support is emulated in software No Single-precision Floating-point support (core) Denormals Yes Infinity and NANs Yes Round to nearest Yes Round to zero Yes Round to infinity Yes IEEE754-2008 fused multiply-add Yes Support is emulated in software No Correctly-rounded divide and sqrt operations Yes Double-precision Floating-point support (cl_khr_fp64) Denormals Yes Infinity and NANs Yes Round to nearest Yes Round to zero Yes Round to infinity Yes IEEE754-2008 fused multiply-add Yes Support is emulated in software No Address bits 64, Little-Endian Global memory size 25753026560 (23.98GiB) Global free memory (AMD) 24946688 (23.79GiB) 24946688 (23.79GiB) Global memory channels (AMD) 12 Global memory banks per channel (AMD) 4 Global memory bank width (AMD) 256 bytes Error Correction support No Max memory allocation 21890072576 (20.39GiB) Unified memory for Host and Device No Shared Virtual Memory (SVM) capabilities (core) Coarse-grained buffer sharing Yes Fine-grained buffer sharing Yes Fine-grained system sharing No Atomics No Minimum alignment for any data type 128 bytes Alignment of base address 1024 bits (128 bytes) Preferred alignment for atomics SVM 0 bytes Global 0 bytes Local 0 bytes Max size for global variable 21890072576 (20.39GiB) Preferred total size of global vars 25753026560 (23.98GiB) Global Memory cache type Read/Write Global Memory cache size 32768 (32KiB) Global Memory cache line size 64 bytes Image support Yes Max number of samplers per kernel 16 Max size for 1D images from buffer 134217728 pixels Max 1D or 2D image array size 8192 images Base address alignment for 2D image buffers 256 bytes Pitch alignment for 2D image buffers 256 pixels Max 2D image size 16384x16384 pixels Max 3D image size 16384x16384x8192 pixels Max number of read image args 128 Max number of write image args 8 Max number of read/write image args 64 Max number of pipe args 16 Max active pipe reservations 16 Max pipe packet size 415236096 (396MiB) Local memory type Local Local memory size 65536 (64KiB) Local memory size per CU (AMD) 65536 (64KiB) Local memory banks (AMD) 32 Max number of constant args 8 Max constant buffer size 21890072576 (20.39GiB) Preferred constant buffer size (AMD) 16384 (16KiB) Max size of kernel argument 1024 Queue properties (on host) Out-of-order execution No Profiling Yes Queue properties (on device) Out-of-order execution Yes Profiling Yes Preferred size 262144 (256KiB) Max size 8388608 (8MiB) Max queues on device 1 Max events on device 1024 Prefer user sync for interop Yes Number of P2P devices (AMD) 0 Profiling timer resolution 1ns Profiling timer offset since Epoch (AMD) 0ns (Wed Dec 31 19:00:00 1969) Execution capabilities Run OpenCL kernels Yes Run native kernels No Thread trace supported (AMD) No Number of async queues (AMD) 8 Max real-time compute queues (AMD) 8 Max real-time compute units (AMD) 48 printf() buffer size 4194304 (4MiB) Built-in kernels (n/a) Device Extensions cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_gl_sharing cl_amd_device_attribute_query cl_amd_media_ops cl_amd_media_ops2 cl_khr_image2d_from_buffer cl_khr_subgroups cl_khr_depth_images cl_amd_copy_buffer_p2p cl_amd_assembly_program NULL platform behavior clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) AMD Accelerated Parallel Processing clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [AMD] clCreateContext(NULL, ...) [default] Success [AMD] clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (1) Platform Name AMD Accelerated Parallel Processing Device Name gfx1100 clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) Success (1) Platform Name AMD Accelerated Parallel Processing Device Name gfx1100 clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) No devices found in platform clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) Success (1) Platform Name AMD Accelerated Parallel Processing Device Name gfx1100 ICD loader properties ICD loader Name OpenCL ICD Loader ICD loader Vendor OCL Icd free software ICD loader Version 2.3.2 ICD loader Profile OpenCL 3.0
Ollama does utilize my GPU properly when installed on the host. I'm on Fedora40.
Alpaca doesnt currently use the right ollama binary, and is also not linked to the flatpak rocm binaries. (please read the full issue comments)
@Jeffser (The Creator of this project) Said, that he will work on this in the future, because it seemes like theres quite some stuff to do for AMD support it completeley.
for now you can just run ollama inside of a docker, or nativley and link to it in alpaca, for questions how to run ollama localy, or in a docker, see the ollama wiki.
btw what distro do you use? I've been wanting to use an immutable distro for my laptop
Im currentley utelizing vanilla Kinoite, but I gonna give Ublue a changse soon, especiially, becuase on native Kinoite WebRTC is jittery with my GPU for some reason, and KDE connect isnt working with with the firefox flatpak, so I gonna see, if with their kinoite image: https://github.com/ublue-os/main/pkgs/container/kinoite-main im gonna have a better experince (i will only have to reabase, so switching and trying out will be easy)
Is your feature request related to a problem? Please describe. My GPU isnt utilisied
Describe the solution you'd like The ability to Override GFX targets, like described in the ollama Docs: https://github.com/ollama/ollama/blob/main/docs/gpu.md#overrides
Describe alternatives you've considered Running Ollama Manually in a Toolbx
Additional context I got an RX 6650XT which has a target of: gfx1032, but the nearest supported one is: 1030, so the Override for me would be: HSA_OVERRIDE_GFX_VERSION="10.3.0"
Yes, I tried setting it as an Flatpak override, but that didnt work