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#1 2024-06-09 23:01:48

pierrel
Member
Registered: 2024-06-08
Posts: 5

Framework 13 with AMD running llms

Hi, I've been running Arch Linux on my newish Framework 13/AMD laptop without an issue since it arrived. However, I've found that llm performance on my laptop isn't great. Here's the output of "llm_benchmark" python utility:

-------Linux----------
No GPU detected.
Total memory size : 30.66 GB
cpu_info: AMD Ryzen 7 7840U w/ Radeon  780M Graphics
gpu_info: no_gpu
os_version: "Arch Linux"
ollama_version: 0.1.41

Your machine UUID : a79f8302-d19d-5b65-a214-213535d44a16
-------Linux----------

No GPU detected.
{
    "mistral:7b": "6.09",
    "llama3:8b": "5.64",
    "phi3:3.8b": "9.54",
    "gemma:2b": "14.14",
    "gemma:7b": "4.85",
    "llava:7b": "6.21",
    "llava:13b": "3.43",
    "uuid": "a79f8302-d19d-5b65-a214-213535d44a16",
    "ollama_version": "0.1.41"
}

These numbers seem much lower than those posted by others running other distributions, like here: https://community.frame.work/t/llm-benc … 840u/49351

I have the latest firmware:

# dmidecode -s bios-version
03.05

And amdgpu seems to be working fine:

$ lsmod | grep amdgpu
amdgpu              13885440  23
amdxcp                 12288  1 amdgpu
i2c_algo_bit           20480  1 amdgpu
drm_ttm_helper         12288  1 amdgpu
ttm                   102400  2 amdgpu,drm_ttm_helper
drm_exec               12288  1 amdgpu
gpu_sched              65536  1 amdgpu
drm_suballoc_helper    12288  1 amdgpu
drm_buddy              20480  1 amdgpu
drm_display_helper    262144  1 amdgpu
video                  77824  1 amdgpu

And glxinfo doesn't say anything alarming

$ glxinfo | head -n 50
name of display: :0
display: :0  screen: 0
direct rendering: Yes
server glx vendor string: SGI
server glx version string: 1.4
server glx extensions:
    GLX_ARB_context_flush_control, GLX_ARB_create_context, 
    GLX_ARB_create_context_no_error, GLX_ARB_create_context_profile, 
    GLX_ARB_create_context_robustness, GLX_ARB_fbconfig_float, 
    GLX_ARB_framebuffer_sRGB, GLX_ARB_multisample, 
    GLX_EXT_create_context_es2_profile, GLX_EXT_create_context_es_profile, 
    GLX_EXT_fbconfig_packed_float, GLX_EXT_framebuffer_sRGB, 
    GLX_EXT_get_drawable_type, GLX_EXT_libglvnd, GLX_EXT_no_config_context, 
    GLX_EXT_texture_from_pixmap, GLX_EXT_visual_info, GLX_EXT_visual_rating, 
    GLX_MESA_copy_sub_buffer, GLX_OML_swap_method, GLX_SGIS_multisample, 
    GLX_SGIX_fbconfig, GLX_SGIX_pbuffer, GLX_SGIX_visual_select_group, 
    GLX_SGI_make_current_read
client glx vendor string: Mesa Project and SGI
client glx version string: 1.4
client glx extensions:
    GLX_ARB_context_flush_control, GLX_ARB_create_context, 
    GLX_ARB_create_context_no_error, GLX_ARB_create_context_profile, 
    GLX_ARB_create_context_robustness, GLX_ARB_fbconfig_float, 
    GLX_ARB_framebuffer_sRGB, GLX_ARB_get_proc_address, GLX_ARB_multisample, 
    GLX_ATI_pixel_format_float, GLX_EXT_buffer_age, 
    GLX_EXT_create_context_es2_profile, GLX_EXT_create_context_es_profile, 
    GLX_EXT_fbconfig_packed_float, GLX_EXT_framebuffer_sRGB, 
    GLX_EXT_import_context, GLX_EXT_no_config_context, GLX_EXT_swap_control, 
    GLX_EXT_swap_control_tear, GLX_EXT_texture_from_pixmap, 
    GLX_EXT_visual_info, GLX_EXT_visual_rating, GLX_INTEL_swap_event, 
    GLX_MESA_copy_sub_buffer, GLX_MESA_gl_interop, GLX_MESA_query_renderer, 
    GLX_MESA_swap_control, GLX_NV_float_buffer, GLX_OML_sync_control, 
    GLX_SGIS_multisample, GLX_SGIX_fbconfig, GLX_SGIX_pbuffer, 
    GLX_SGIX_visual_select_group, GLX_SGI_make_current_read, 
    GLX_SGI_swap_control, GLX_SGI_video_sync
GLX version: 1.4
GLX extensions:
    GLX_ARB_context_flush_control, GLX_ARB_create_context, 
    GLX_ARB_create_context_no_error, GLX_ARB_create_context_profile, 
    GLX_ARB_create_context_robustness, GLX_ARB_fbconfig_float, 
    GLX_ARB_framebuffer_sRGB, GLX_ARB_get_proc_address, GLX_ARB_multisample, 
    GLX_EXT_buffer_age, GLX_EXT_create_context_es2_profile, 
    GLX_EXT_create_context_es_profile, GLX_EXT_fbconfig_packed_float, 
    GLX_EXT_framebuffer_sRGB, GLX_EXT_no_config_context, GLX_EXT_swap_control, 
    GLX_EXT_swap_control_tear, GLX_EXT_texture_from_pixmap, 
    GLX_EXT_visual_info, GLX_EXT_visual_rating, GLX_MESA_copy_sub_buffer, 
    GLX_MESA_gl_interop, GLX_MESA_query_renderer, GLX_MESA_swap_control, 
    GLX_OML_sync_control, GLX_SGIS_multisample, GLX_SGIX_fbconfig, 
    GLX_SGIX_pbuffer, GLX_SGIX_visual_select_group, GLX_SGI_make_current_read, 
    GLX_SGI_video_sync

   
This is the output when starting "ollama serve":

$ ollama serve
2024/06/09 15:49:11 routes.go:1007: INFO server config env="map[OLLAMA_DEBUG:false OLLAMA_FLASH_ATTENTION:false OLLAMA_HOST: OLLAMA_KEEP_ALIVE: OLLAMA_LLM_LIBRARY: OLLAMA_MAX_LOADED_MODELS:1 OLLAMA_MAX_QUEUE:512 OLLAMA_MAX_VRAM:0 OLLAMA_MODELS: OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NUM_PARALLEL:1 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:*] OLLAMA_RUNNERS_DIR: OLLAMA_TMPDIR:]"
time=2024-06-09T15:49:11.655-07:00 level=INFO source=images.go:729 msg="total blobs: 38"
time=2024-06-09T15:49:11.655-07:00 level=INFO source=images.go:736 msg="total unused blobs removed: 0"
[GIN-debug] [WARNING] Creating an Engine instance with the Logger and Recovery middleware already attached.

[GIN-debug] [WARNING] Running in "debug" mode. Switch to "release" mode in production.
 - using env:	export GIN_MODE=release
 - using code:	gin.SetMode(gin.ReleaseMode)

[GIN-debug] POST   /api/pull                 --> github.com/ollama/ollama/server.(*Server).PullModelHandler-fm (5 handlers)
[GIN-debug] POST   /api/generate             --> github.com/ollama/ollama/server.(*Server).GenerateHandler-fm (5 handlers)
[GIN-debug] POST   /api/chat                 --> github.com/ollama/ollama/server.(*Server).ChatHandler-fm (5 handlers)
[GIN-debug] POST   /api/embeddings           --> github.com/ollama/ollama/server.(*Server).EmbeddingsHandler-fm (5 handlers)
[GIN-debug] POST   /api/create               --> github.com/ollama/ollama/server.(*Server).CreateModelHandler-fm (5 handlers)
[GIN-debug] POST   /api/push                 --> github.com/ollama/ollama/server.(*Server).PushModelHandler-fm (5 handlers)
[GIN-debug] POST   /api/copy                 --> github.com/ollama/ollama/server.(*Server).CopyModelHandler-fm (5 handlers)
[GIN-debug] DELETE /api/delete               --> github.com/ollama/ollama/server.(*Server).DeleteModelHandler-fm (5 handlers)
[GIN-debug] POST   /api/show                 --> github.com/ollama/ollama/server.(*Server).ShowModelHandler-fm (5 handlers)
[GIN-debug] POST   /api/blobs/:digest        --> github.com/ollama/ollama/server.(*Server).CreateBlobHandler-fm (5 handlers)
[GIN-debug] HEAD   /api/blobs/:digest        --> github.com/ollama/ollama/server.(*Server).HeadBlobHandler-fm (5 handlers)
[GIN-debug] GET    /api/ps                   --> github.com/ollama/ollama/server.(*Server).ProcessHandler-fm (5 handlers)
[GIN-debug] POST   /v1/chat/completions      --> github.com/ollama/ollama/server.(*Server).ChatHandler-fm (6 handlers)
[GIN-debug] GET    /                         --> github.com/ollama/ollama/server.(*Server).GenerateRoutes.func1 (5 handlers)
[GIN-debug] GET    /api/tags                 --> github.com/ollama/ollama/server.(*Server).ListModelsHandler-fm (5 handlers)
[GIN-debug] GET    /api/version              --> github.com/ollama/ollama/server.(*Server).GenerateRoutes.func2 (5 handlers)
[GIN-debug] HEAD   /                         --> github.com/ollama/ollama/server.(*Server).GenerateRoutes.func1 (5 handlers)
[GIN-debug] HEAD   /api/tags                 --> github.com/ollama/ollama/server.(*Server).ListModelsHandler-fm (5 handlers)
[GIN-debug] HEAD   /api/version              --> github.com/ollama/ollama/server.(*Server).GenerateRoutes.func2 (5 handlers)
time=2024-06-09T15:49:11.656-07:00 level=INFO source=routes.go:1053 msg="Listening on 127.0.0.1:11434 (version 0.1.41)"
time=2024-06-09T15:49:11.657-07:00 level=INFO source=payload.go:30 msg="extracting embedded files" dir=/tmp/ollama3663068283/runners
time=2024-06-09T15:49:12.656-07:00 level=INFO source=payload.go:44 msg="Dynamic LLM libraries [cpu rocm]"
time=2024-06-09T15:49:12.689-07:00 level=WARN source=amd_linux.go:48 msg="ollama recommends running the https://www.amd.com/en/support/linux-drivers" error="amdgpu version file missing: /sys/module/amdgpu/version stat /sys/module/amdgpu/version: no such file or directory"
time=2024-06-09T15:49:12.689-07:00 level=INFO source=amd_linux.go:233 msg="unsupported Radeon iGPU detected skipping" id=0 total="512.0 MiB"
time=2024-06-09T15:49:12.689-07:00 level=INFO source=amd_linux.go:311 msg="no compatible amdgpu devices detected"
time=2024-06-09T15:49:12.690-07:00 level=INFO source=types.go:71 msg="inference compute" id=0 library=cpu compute="" driver=0.0 name="" total="30.7 GiB" available="26.8 GiB"

Any help or pointers would be greatly appreciated!

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#2 2024-06-10 11:05:21

Lone_Wolf
Forum Moderator
From: Netherlands, Europe
Registered: 2005-10-04
Posts: 12,178

Re: Framework 13 with AMD running llms

Are you using ollama-rocm ?


Disliking systemd intensely, but not satisfied with alternatives so focusing on taming systemd.


(A works at time B)  && (time C > time B ) ≠  (A works at time C)

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#3 2024-06-10 12:51:19

pierrel
Member
Registered: 2024-06-08
Posts: 5

Re: Framework 13 with AMD running llms

It's at least installed:

$ sudo pacman  -S ollama-rocm
warning: ollama-rocm-0.1.41-1 is up to date -- reinstalling

I had previously installed ollama outside of pacman, but followed these steps to remove it in favor of the pacman version: https://collabnix.com/how-to-uninstall-ollama/

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#4 2024-06-10 13:10:19

pierrel
Member
Registered: 2024-06-08
Posts: 5

Re: Framework 13 with AMD running llms

Actually it turns out that I had not run anything while using "ollama-rocm" as I just tried it and it seg faults when trying to generate:

time=2024-06-10T06:05:47.808-07:00 level=WARN source=amd_linux.go:48 msg="ollama recommends running the https://www.amd.com/en/support/linux-drivers" error="amdgpu version file missing: /sys/module/amdgpu/version stat /sys/module/amdgpu/version: no such file or directory"
time=2024-06-10T06:05:47.808-07:00 level=INFO source=amd_linux.go:233 msg="unsupported Radeon iGPU detected skipping" id=0 total="512.0 MiB"
time=2024-06-10T06:05:47.808-07:00 level=INFO source=amd_linux.go:311 msg="no compatible amdgpu devices detected"
time=2024-06-10T06:05:47.899-07:00 level=INFO source=memory.go:133 msg="offload to gpu" layers.requested=-1 layers.real=0 memory.available="267.0 MiB" memory.required.full="4.3 GiB" memory.required.partial="302.0 MiB" memory.required.kv="256.0 MiB" memory.weights.total="3.8 GiB" memory.weights.repeating="3.7 GiB" memory.weights.nonrepeating="105.0 MiB" memory.graph.full="164.0 MiB" memory.graph.partial="185.0 MiB"
time=2024-06-10T06:05:47.900-07:00 level=INFO source=server.go:341 msg="starting llama server" cmd="/tmp/ollama3536283051/runners/cpu/ollama_llama_server --model /home/pierre/.ollama/models/blobs/sha256-ff82381e2bea77d91c1b824c7afb83f6fb73e9f7de9dda631bcdbca564aa5435 --ctx-size 2048 --batch-size 512 --embedding --log-disable --parallel 1 --port 43071"
time=2024-06-10T06:05:47.900-07:00 level=INFO source=sched.go:338 msg="loaded runners" count=1
time=2024-06-10T06:05:47.900-07:00 level=INFO source=server.go:529 msg="waiting for llama runner to start responding"
time=2024-06-10T06:05:47.900-07:00 level=INFO source=server.go:567 msg="waiting for server to become available" status="llm server error"
INFO [main] build info | build=3051 commit="5921b8f08" tid="125214278028352" timestamp=1718024747
INFO [main] system info | n_threads=8 n_threads_batch=-1 system_info="AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 1 | AVX512_VBMI = 1 | AVX512_VNNI = 1 | AVX512_BF16 = 1 | FMA = 1 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 | " tid="125214278028352" timestamp=1718024747 total_threads=16
INFO [main] HTTP server listening | hostname="127.0.0.1" n_threads_http="15" port="43071" tid="125214278028352" timestamp=1718024747
llama_model_loader: loaded meta data with 25 key-value pairs and 291 tensors from /home/pierre/.ollama/models/blobs/sha256-ff82381e2bea77d91c1b824c7afb83f6fb73e9f7de9dda631bcdbca564aa5435 (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv   0:                       general.architecture str              = llama
llama_model_loader: - kv   1:                               general.name str              = Mistral-7B-Instruct-v0.3
llama_model_loader: - kv   2:                          llama.block_count u32              = 32
llama_model_loader: - kv   3:                       llama.context_length u32              = 32768
llama_model_loader: - kv   4:                     llama.embedding_length u32              = 4096
llama_model_loader: - kv   5:                  llama.feed_forward_length u32              = 14336
llama_model_loader: - kv   6:                 llama.attention.head_count u32              = 32
llama_model_loader: - kv   7:              llama.attention.head_count_kv u32              = 8
llama_model_loader: - kv   8:                       llama.rope.freq_base f32              = 1000000.000000
llama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32              = 0.000010
llama_model_loader: - kv  10:                          general.file_type u32              = 2
llama_model_loader: - kv  11:                           llama.vocab_size u32              = 32768
llama_model_loader: - kv  12:                 llama.rope.dimension_count u32              = 128
llama_model_loader: - kv  13:                       tokenizer.ggml.model str              = llama
llama_model_loader: - kv  14:                         tokenizer.ggml.pre str              = default
llama_model_loader: - kv  15:                      tokenizer.ggml.tokens arr[str,32768]   = ["<unk>", "<s>", "</s>", "[INST]", "[...
llama_model_loader: - kv  16:                      tokenizer.ggml.scores arr[f32,32768]   = [0.000000, 0.000000, 0.000000, 0.0000...
llama_model_loader: - kv  17:                  tokenizer.ggml.token_type arr[i32,32768]   = [2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, ...
llama_model_loader: - kv  18:                tokenizer.ggml.bos_token_id u32              = 1
llama_model_loader: - kv  19:                tokenizer.ggml.eos_token_id u32              = 2
llama_model_loader: - kv  20:            tokenizer.ggml.unknown_token_id u32              = 0
llama_model_loader: - kv  21:               tokenizer.ggml.add_bos_token bool             = true
llama_model_loader: - kv  22:               tokenizer.ggml.add_eos_token bool             = false
llama_model_loader: - kv  23:                    tokenizer.chat_template str              = {{ bos_token }}{% for message in mess...
llama_model_loader: - kv  24:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:   65 tensors
llama_model_loader: - type q4_0:  225 tensors
llama_model_loader: - type q6_K:    1 tensors
llm_load_vocab: special tokens cache size = 1027
llm_load_vocab: token to piece cache size = 0.3368 MB
llm_load_print_meta: format           = GGUF V3 (latest)
llm_load_print_meta: arch             = llama
llm_load_print_meta: vocab type       = SPM
llm_load_print_meta: n_vocab          = 32768
llm_load_print_meta: n_merges         = 0
llm_load_print_meta: n_ctx_train      = 32768
llm_load_print_meta: n_embd           = 4096
llm_load_print_meta: n_head           = 32
llm_load_print_meta: n_head_kv        = 8
llm_load_print_meta: n_layer          = 32
llm_load_print_meta: n_rot            = 128
llm_load_print_meta: n_embd_head_k    = 128
llm_load_print_meta: n_embd_head_v    = 128
llm_load_print_meta: n_gqa            = 4
llm_load_print_meta: n_embd_k_gqa     = 1024
llm_load_print_meta: n_embd_v_gqa     = 1024
llm_load_print_meta: f_norm_eps       = 0.0e+00
llm_load_print_meta: f_norm_rms_eps   = 1.0e-05
llm_load_print_meta: f_clamp_kqv      = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: f_logit_scale    = 0.0e+00
llm_load_print_meta: n_ff             = 14336
llm_load_print_meta: n_expert         = 0
llm_load_print_meta: n_expert_used    = 0
llm_load_print_meta: causal attn      = 1
llm_load_print_meta: pooling type     = 0
llm_load_print_meta: rope type        = 0
llm_load_print_meta: rope scaling     = linear
llm_load_print_meta: freq_base_train  = 1000000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx  = 32768
llm_load_print_meta: rope_finetuned   = unknown
llm_load_print_meta: ssm_d_conv       = 0
llm_load_print_meta: ssm_d_inner      = 0
llm_load_print_meta: ssm_d_state      = 0
llm_load_print_meta: ssm_dt_rank      = 0
llm_load_print_meta: model type       = 7B
llm_load_print_meta: model ftype      = Q4_0
llm_load_print_meta: model params     = 7.25 B
llm_load_print_meta: model size       = 3.83 GiB (4.54 BPW) 
llm_load_print_meta: general.name     = Mistral-7B-Instruct-v0.3
llm_load_print_meta: BOS token        = 1 '<s>'
llm_load_print_meta: EOS token        = 2 '</s>'
llm_load_print_meta: UNK token        = 0 '<unk>'
llm_load_print_meta: LF token         = 781 '<0x0A>'

rocBLAS error: Cannot read /opt/rocm/lib/rocblas/library/TensileLibrary.dat: Illegal seek for GPU arch : gfx1103
time=2024-06-10T06:05:48.352-07:00 level=INFO source=server.go:567 msg="waiting for server to become available" status="llm server not responding"
time=2024-06-10T06:05:48.603-07:00 level=ERROR source=sched.go:344 msg="error loading llama server" error="llama runner process has terminated: signal: segmentation fault (core dumped) error:Cannot read /opt/rocm/lib/rocblas/library/TensileLibrary.dat: Illegal seek for GPU arch : gfx1103"
[GIN] 2024/06/10 - 06:05:48 | 500 |  812.059238ms |       127.0.0.1 | POST     "/api/generate"

Doing a "pacman -S ollama" to replace the rocm version installs fine and has the bad performance shown in the first post.

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#5 2024-06-11 09:21:58

Lone_Wolf
Forum Moderator
From: Netherlands, Europe
Registered: 2005-10-04
Posts: 12,178

Re: Framework 13 with AMD running llms

time=2024-06-10T06:05:47.808-07:00 level=INFO source=amd_linux.go:233 msg="unsupported Radeon iGPU detected skipping" id=0 total="512.0 MiB"
time=2024-06-10T06:05:47.808-07:00 level=INFO source=amd_linux.go:311 msg="no compatible amdgpu devices detected"

According to https://rocm.docs.amd.com/projects/rade … sites.html rocm doesn't support any integrated GPU .

ollama without rocm is CPU bound and cpus are not great at Machine Learning.
Maybe a dedicated gpu can be added to the laptop ?


Disliking systemd intensely, but not satisfied with alternatives so focusing on taming systemd.


(A works at time B)  && (time C > time B ) ≠  (A works at time C)

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#6 2024-06-12 03:00:53

pierrel
Member
Registered: 2024-06-08
Posts: 5

Re: Framework 13 with AMD running llms

I'm sure it would help. However, the benchmarks provided by others using the same laptops on other linux distros report 2x+ speeds. Their output also notes "gpu_info: no_gpu" in the output.

I did find this issue which seems to be similar to what I'm running into:

time=2024-06-05T10:56:17.756+02:00 level=WARN source=sched.go:512 msg="gpu VRAM usage didn't recover within timeout" seconds=5.279895057
time=2024-06-05T10:56:17.783+02:00 level=WARN source=amd_linux.go:48 msg="ollama recommends running the https://www.amd.com/en/support/linux-drivers" error="amdgpu version file missing: /sys/module/amdgpu/version stat /sys/module/amdgpu/version: no such file or directory"
time=2024-06-05T10:56:17.785+02:00 level=INFO sourc
Error: llama runner process has terminated: signal: segmentation fault

The recommendation from the Catchy folks seems to be to install the proprietary amdgpu drivers, but I'm not sure how. I've installed the "amdgpu-pro-installer-debug-23.40_1741713-1-x86_64.pkg.tar.zst" package from the amdgpu-pro-installer AUR and restarted but it doesn't seem to have worked:

$ glxinfo | grep "OpenGL vendor string"
(standard input):OpenGL vendor string: AMD

There are quite a few other packages that were built as part of this makepgk:

$ ls *.zst
amdgpu-pro-installer-debug-23.40_1741713-1-x86_64.pkg.tar.zst  lib32-amdgpu-pro-oglp-23.40_1741713-1-x86_64.pkg.tar.zst
amdgpu-pro-oglp-23.40_1741713-1-x86_64.pkg.tar.zst             lib32-vulkan-amdgpu-pro-23.40_1741713-1-x86_64.pkg.tar.zst
amf-amdgpu-pro-23.40_1741713-1-x86_64.pkg.tar.zst              vulkan-amdgpu-pro-23.40_1741713-1-x86_64.pkg.tar.zst

Should I install all of them? Or another one in particular? Or uninstall my current, open source drivers first? The wiki doesn't have many details.

By the way, @Lone_Wolf - thank you for keeping this thread going!

Last edited by pierrel (2024-06-12 03:01:40)

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#7 2024-06-12 08:53:55

Lone_Wolf
Forum Moderator
From: Netherlands, Europe
Registered: 2005-10-04
Posts: 12,178

Re: Framework 13 with AMD running llms

It seems ollama tries to use HIP and for amd that's only present in rocm.

The proprietary drivers packaage you can download from amd do come with rocm and some other stuff that as far as I know is not included in the aur amd proprietary packages.
There may be another alternative though .

https://www.reddit.com/r/LocalLLaMA/com … work_with/ and https://www.reddit.com/r/LocalLLaMA/com … xtx_using/ indicate ollama can use OpenCL .

Install rocm-opencl-runtime & clinfo .
Post the output of clinfo .


Disliking systemd intensely, but not satisfied with alternatives so focusing on taming systemd.


(A works at time B)  && (time C > time B ) ≠  (A works at time C)

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#8 2024-06-14 19:27:58

pierrel
Member
Registered: 2024-06-08
Posts: 5

Re: Framework 13 with AMD running llms

Here's the out put of clinfo:

$ clinfo
Number of platforms                               2
  Platform Name                                   AMD Accelerated Parallel Processing
  Platform Vendor                                 Advanced Micro Devices, Inc.
  Platform Version                                OpenCL 2.1 AMD-APP.dbg (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                                   Clover
  Platform Vendor                                 Mesa
  Platform Version                                OpenCL 1.1 Mesa 24.1.1-arch1.1
  Platform Profile                                FULL_PROFILE
  Platform Extensions                             cl_khr_icd
  Platform Extensions function suffix             MESA

  Platform Name                                   AMD Accelerated Parallel Processing
Number of devices                                 1
  Device Name                                     gfx1103
  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 780M
  Device PCI-e ID (AMD)                           0x15bf
  Device Topology (AMD)                           PCI-E, 0000:ffffffc1:00.0
  Device Profile                                  FULL_PROFILE
  Device Available                                Yes
  Compiler Available                              Yes
  Linker Available                                Yes
  Max compute units                               6
  SIMD per compute unit (AMD)                     4
  SIMD width (AMD)                                32
  SIMD instruction width (AMD)                    1
  Max clock frequency                             2700MHz
  Graphics IP (AMD)                               11.0
  Device Partition                                (core)
    Max number of sub-devices                     6
    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                              536870912 (512MiB)
  Global free memory (AMD)                        428032 (418MiB) 428032 (418MiB)
  Global memory channels (AMD)                    2
  Global memory banks per channel (AMD)           4
  Global memory bank width (AMD)                  256 bytes
  Error Correction support                        No
  Max memory allocation                           402653184 (384MiB)
  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                    402653184 (384MiB)
  Preferred total size of global vars             536870912 (512MiB)
  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                            402653184 (384MiB)
  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                        402653184 (384MiB)
  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 16:00:00 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)             6
  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 

  Platform Name                                   Clover
Number of devices                                 1
  Device Name                                     AMD Radeon 780M (radeonsi, gfx1103_r1, LLVM 17.0.6, DRM 3.57, 6.9.3-arch1-1)
  Device Vendor                                   AMD
  Device Vendor ID                                0x1002
  Device Version                                  OpenCL 1.1 Mesa 24.1.1-arch1.1
  Device Numeric Version                          0x401000 (1.1.0)
  Driver Version                                  24.1.1-arch1.1
  Device OpenCL C Version                         OpenCL C 1.1 
  Device OpenCL C Numeric Version                 0x401000 (1.1.0)
  Device Type                                     GPU
  Device Profile                                  FULL_PROFILE
  Device Available                                Yes
  Compiler Available                              Yes
  Max compute units                               12
  Max clock frequency                             2700MHz
  Max work item dimensions                        3
  Max work item sizes                             256x256x256
  Max work group size                             256
=== CL_PROGRAM_BUILD_LOG ===
fatal error: cannot open file '/usr/share/clc/gfx1103-amdgcn-mesa-mesa3d.bc': No such file or directory
  Preferred work group size multiple (kernel)     <getWGsizes:1980: create kernel : error -46>
  Preferred / native vector sizes                 
    char                                                16 / 16      
    short                                                8 / 8       
    int                                                  4 / 4       
    long                                                 2 / 2       
    half                                                 0 / 0        (n/a)
    float                                                4 / 4       
    double                                               2 / 2        (cl_khr_fp64)
  Half-precision Floating-point support           (n/a)
  Single-precision Floating-point support         (core)
    Denormals                                     No
    Infinity and NANs                             Yes
    Round to nearest                              Yes
    Round to zero                                 No
    Round to infinity                             No
    IEEE754-2008 fused multiply-add               No
    Support is emulated in software               No
    Correctly-rounded divide and sqrt operations  No
  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                              16461004800 (15.33GiB)
  Error Correction support                        No
  Max memory allocation                           4115251200 (3.833GiB)
  Unified memory for Host and Device              No
  Minimum alignment for any data type             128 bytes
  Alignment of base address                       32768 bits (4096 bytes)
  Global Memory cache type                        None
  Image support                                   No
  Local memory type                               Local
  Local memory size                               65536 (64KiB)
  Max number of constant args                     16
  Max constant buffer size                        67108864 (64MiB)
  Max size of kernel argument                     1024
  Queue properties                                
    Out-of-order execution                        No
    Profiling                                     Yes
  Profiling timer resolution                      0ns
  Execution capabilities                          
    Run OpenCL kernels                            Yes
    Run native kernels                            No
    ILs with version                              SPIR-V                                                           0x400000 (1.0.0)
  Built-in kernels with version                   (n/a)
  Device Extensions                               cl_khr_byte_addressable_store 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_fp64 cl_khr_extended_versioning
  Device Extensions with Version                  cl_khr_byte_addressable_store                                    0x400000 (1.0.0)
                                                  cl_khr_global_int32_base_atomics                                 0x400000 (1.0.0)
                                                  cl_khr_global_int32_extended_atomics                             0x400000 (1.0.0)
                                                  cl_khr_local_int32_base_atomics                                  0x400000 (1.0.0)
                                                  cl_khr_local_int32_extended_atomics                              0x400000 (1.0.0)
                                                  cl_khr_int64_base_atomics                                        0x400000 (1.0.0)
                                                  cl_khr_int64_extended_atomics                                    0x400000 (1.0.0)
                                                  cl_khr_fp64                                                      0x400000 (1.0.0)
                                                  cl_khr_extended_versioning                                       0x400000 (1.0.0)


NULL platform behavior
  clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...)  No platform
  clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...)   No platform
  clCreateContext(NULL, ...) [default]            No platform
  clCreateContext(NULL, ...) [other]              Success [AMD]
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT)  Success (1)
    Platform Name                                 AMD Accelerated Parallel Processing
    Device Name                                   gfx1103
  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                                   gfx1103
  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                                   gfx1103

Another thing to note, when trying to copy to xclip, I receive the following error (that doesn't show when not trying to pipe):

$ clinfo | xclip
=== CL_PROGRAM_BUILD_LOG ===
fatal error: cannot open file '/usr/share/clc/gfx1103-amdgcn-mesa-mesa3d.bc': No such file or directory

After installing these (no restart) and running llm_benchmark again I still get poor performance.

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#9 2024-06-14 21:08:13

Lone_Wolf
Forum Moderator
From: Netherlands, Europe
Registered: 2005-10-04
Posts: 12,178

Re: Framework 13 with AMD running llms

Clover relies on libclc and support for cards above gfx9 was only added in libclc 18 and later .
Even if you ran those versions, clover is unlikely to provide what ollama needs .

remove opencl-clover-mesa.
run clinfo --list to verify you have 1 platform (AMD Accelerated Parallel Processing) with 1 device .

Then try ollama again.


Disliking systemd intensely, but not satisfied with alternatives so focusing on taming systemd.


(A works at time B)  && (time C > time B ) ≠  (A works at time C)

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