ollama - ✅(Solved) Fix New Gemma 4 models run on CPU, they say they are running on GPU [2 pull requests, 42 comments, 26 participants]
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ollama/ollama#15237•Fetched 2026-04-08 02:33:55
Comments
42
Participants
26
Timeline
83
Reactions
8
Author
sammyvoncheeseParticipants
alerque
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craftpip
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Hello-World-Traveler
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mazphilip
nickkaltner
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PythonLawrence
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commented ×42subscribed ×25cross-referenced ×8unsubscribed ×3
Fix Action
Fix / Workaround
time=2026-04-02T13:59:15.592-04:00 level=INFO source=routes.go:1744 msg="server config" env="map[CUDA_VISIBLE_DEVICES: GGML_VK_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_CONTEXT_LENGTH:0 OLLAMA_DEBUG:DEBUG OLLAMA_DEBUG_LOG_REQUESTS:false OLLAMA_EDITOR: OLLAMA_FLASH_ATTENTION:true OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://127.0.0.1:11434 OLLAMA_KEEP_ALIVE:5m0s OLLAMA_KV_CACHE_TYPE: OLLAMA_LLM_LIBRARY: OLLAMA_LOAD_TIMEOUT:5m0s OLLAMA_MAX_LOADED_MODELS:1 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:d:\\dev\\models\\llm OLLAMA_MULTIUSER_CACHE:false OLLAMA_NEW_ENGINE:true OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NO_CLOUD: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:* app://* file://* tauri://* vscode-webview://* vscode-file://*] OLLAMA_REMOTES:[ollama.com] OLLAMA_SCHED_SPREAD:false OLLAMA_VULKAN:false ROCR_VISIBLE_DEVICES:]"
time=2026-04-02T13:59:15.593-04:00 level=INFO source=routes.go:1746 msg="Ollama cloud disabled: false"
time=2026-04-02T13:59:15.618-04:00 level=INFO source=images.go:499 msg="total blobs: 650"
time=2026-04-02T13:59:15.630-04:00 level=INFO source=images.go:506 msg="total unused blobs removed: 0"
time=2026-04-02T13:59:15.635-04:00 level=INFO source=routes.go:1802 msg="Listening on 127.0.0.1:11434 (version 0.20.0-rc0)"
time=2026-04-02T13:59:15.635-04:00 level=DEBUG source=sched.go:145 msg="starting llm scheduler"
time=2026-04-02T13:59:15.635-04:00 level=INFO source=runner.go:67 msg="discovering available GPUs..."
time=2026-04-02T13:59:15.646-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 52435"
time=2026-04-02T13:59:15.646-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v12;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v12
time=2026-04-02T13:59:15.920-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=281.4062ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v12]" extra_envs=map[]
time=2026-04-02T13:59:15.921-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 52440"
time=2026-04-02T13:59:15.921-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
time=2026-04-02T13:59:16.189-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=268.9693ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13]" extra_envs=map[]
time=2026-04-02T13:59:16.189-04:00 level=INFO source=runner.go:106 msg="experimental Vulkan support disabled. To enable, set OLLAMA_VULKAN=1"
time=2026-04-02T13:59:16.189-04:00 level=DEBUG source=runner.go:124 msg="evaluating which, if any, devices to filter out" initial_count=2
time=2026-04-02T13:59:16.189-04:00 level=DEBUG source=runner.go:146 msg="verifying if device is supported" library=D:\dev\ollama-server\ollama\lib\ollama\cuda_v12 description="NVIDIA GeForce RTX 5090" compute=12.0 id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 pci_id=0000:01:00.0
time=2026-04-02T13:59:16.189-04:00 level=DEBUG source=runner.go:146 msg="verifying if device is supported" library=D:\dev\ollama-server\ollama\lib\ollama\cuda_v13 description="NVIDIA GeForce RTX 5090" compute=12.0 id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 pci_id=0000:01:00.0
time=2026-04-02T13:59:16.190-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 52445"
time=2026-04-02T13:59:16.190-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 52446"
time=2026-04-02T13:59:16.190-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v12;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v12 CUDA_VISIBLE_DEVICES=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 GGML_CUDA_INIT=1
time=2026-04-02T13:59:16.190-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v13 CUDA_VISIBLE_DEVICES=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 GGML_CUDA_INIT=1
time=2026-04-02T13:59:16.354-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=164.5379ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13]" extra_envs="map[CUDA_VISIBLE_DEVICES:GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 GGML_CUDA_INIT:1]"
time=2026-04-02T13:59:16.465-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=275.8555ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v12]" extra_envs="map[CUDA_VISIBLE_DEVICES:GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 GGML_CUDA_INIT:1]"
time=2026-04-02T13:59:16.465-04:00 level=DEBUG source=runner.go:401 msg="filtering device with overlapping libraries" id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 library=D:\dev\ollama-server\ollama\lib\ollama\cuda_v12 delete_index=0 kept_library=D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
time=2026-04-02T13:59:16.465-04:00 level=DEBUG source=runner.go:40 msg="GPU bootstrap discovery took" duration=829.9088ms
time=2026-04-02T13:59:16.465-04:00 level=INFO source=types.go:42 msg="inference compute" id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 filter_id="" library=CUDA compute=12.0 name=CUDA0 description="NVIDIA GeForce RTX 5090" libdirs=ollama,cuda_v13 driver=13.2 pci_id=0000:01:00.0 type=discrete total="31.8 GiB" available="30.3 GiB"
time=2026-04-02T13:59:16.465-04:00 level=INFO source=routes.go:1852 msg="vram-based default context" total_vram="31.8 GiB" default_num_ctx=32768
[GIN] 2026/04/02 - 14:00:08 | 200 | 26.9792ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 28.1036ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 26.0192ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 23.369ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 24.2709ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 24.3459ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 22.4509ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 22.9703ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:18 | 200 | 25.8204ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:18 | 200 | 23.8954ms | 127.0.0.1 | GET "/api/tags"
time=2026-04-02T14:00:19.013-04:00 level=DEBUG source=runner.go:264 msg="refreshing free memory"
time=2026-04-02T14:00:19.013-04:00 level=DEBUG source=runner.go:328 msg="unable to refresh all GPUs with existing runners, performing bootstrap discovery"
time=2026-04-02T14:00:19.016-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 58380"
time=2026-04-02T14:00:19.017-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
time=2026-04-02T14:00:19.298-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=284.433ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13]" extra_envs=map[]
time=2026-04-02T14:00:19.298-04:00 level=DEBUG source=runner.go:40 msg="overall device VRAM discovery took" duration=284.433ms
time=2026-04-02T14:00:19.298-04:00 level=INFO source=cpu_windows.go:148 msg=packages count=1
time=2026-04-02T14:00:19.298-04:00 level=INFO source=cpu_windows.go:195 msg="" package=0 cores=16 efficiency=0 threads=32
time=2026-04-02T14:00:19.298-04:00 level=DEBUG source=sched.go:229 msg="loading first model" model=d:\dev\models\llm\blobs\sha256-cbdeb708e2000122364bf1a63b8aa009504201863def6fb69da784681866a6c6
time=2026-04-02T14:00:19.361-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.alignment default=32
time=2026-04-02T14:00:19.399-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.alignment default=32
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.pooling_type default=0
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=tokenizer.ggml.eot_token_id default=106
time=2026-04-02T14:00:19.402-04:00 level=INFO source=model.go:97 msg="gemma4: token IDs" image=255999 image_end=258882 audio=256000 audio_end=258883
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.attention.global_head_count_kv default=0
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.attention.head_count_kv default="&{size:0 values:[]}"
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.expert_count default=0
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.expert_used_count default=0
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.audio.num_mel_bins default=128
time=2026-04-02T14:00:19.402-04:00 level=INFO source=server.go:247 msg="enabling flash attention"
time=2026-04-02T14:00:19.403-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --model d:\\dev\\models\\llm\\blobs\\sha256-cbdeb708e2000122364bf1a63b8aa009504201863def6fb69da784681866a6c6 --port 58385"
time=2026-04-02T14:00:19.403-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
time=2026-04-02T14:00:19.405-04:00 level=INFO source=sched.go:484 msg="system memory" total="93.6 GiB" free="76.2 GiB" free_swap="76.3 GiB"
time=2026-04-02T14:00:19.405-04:00 level=INFO source=sched.go:491 msg="gpu memory" id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 library=CUDA available="29.8 GiB" free="30.3 GiB" minimum="457.0 MiB" overhead="0 B"
time=2026-04-02T14:00:19.406-04:00 level=INFO source=server.go:759 msg="loading model" "model layers"=43 requested=-1
time=2026-04-02T14:00:19.435-04:00 level=INFO source=runner.go:1417 msg="starting ollama engine"
time=2026-04-02T14:00:19.436-04:00 level=INFO source=runner.go:1452 msg="Server listening on 127.0.0.1:58385"
time=2026-04-02T14:00:19.438-04:00 level=INFO source=runner.go:1290 msg=load request="{Operation:fit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:Enabled KvSize:130000 KvCacheType: NumThreads:16 GPULayers:43[ID:GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 Layers:43(0..42)] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}"
time=2026-04-02T14:00:19.471-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.alignment default=32
time=2026-04-02T14:00:19.473-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.name default=""
time=2026-04-02T14:00:19.473-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.description default=""
time=2026-04-02T14:00:19.473-04:00 level=INFO source=ggml.go:136 msg="" architecture=gemma4 file_type=F16 name="" description="" num_tensors=2131 num_key_values=55
time=2026-04-02T14:00:19.473-04:00 level=DEBUG source=ggml.go:94 msg="ggml backend load all from path" path=D:\dev\ollama-server\ollama\lib\ollama
load_backend: loaded CPU backend from D:\dev\ollama-server\ollama\lib\ollama\ggml-cpu-icelake.dll
time=2026-04-02T14:00:19.485-04:00 level=DEBUG source=ggml.go:94 msg="ggml backend load all from path" path=D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 1 CUDA devices:
Device 0: NVIDIA GeForce RTX 5090, compute capability 12.0, VMM: yes, ID: GPU-68a69638-eb9a-ef06-c025-5d8b66415f00
load_backend: loaded CUDA backend from D:\dev\ollama-server\ollama\lib\ollama\cuda_v13\ggml-cuda.dll
time=2026-04-02T14:00:19.543-04:00 level=INFO source=ggml.go:104 msg=system CPU.0.SSE3=1 CPU.0.SSSE3=1 CPU.0.AVX=1 CPU.0.AVX2=1 CPU.0.F16C=1 CPU.0.FMA=1 CPU.0.BMI2=1 CPU.0.AVX512=1 CPU.0.AVX512_VBMI=1 CPU.0.AVX512_VNNI=1 CPU.0.LLAMAFILE=1 CPU.1.LLAMAFILE=1 CUDA.0.ARCHS=750,800,860,870,890,900,1000,1030,1100,1200,1210 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(clang)
time=2026-04-02T14:00:19.552-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.pooling_type default=0
time=2026-04-02T14:00:19.552-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=tokenizer.ggml.eot_token_id default=106
time=2026-04-02T14:00:19.553-04:00 level=INFO source=model.go:97 msg="gemma4: token IDs" image=255999 image_end=258882 audio=256000 audio_end=258883
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.attention.global_head_count_kv default=0
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.attention.head_count_kv default="&{size:0 values:[]}"
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.expert_count default=0
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.expert_used_count default=0
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.audio.num_mel_bins default=128
time=2026-04-02T14:00:19.564-04:00 level=INFO source=model.go:138 msg="vision: decode" elapsed=1.5334ms bounds=(0,0)-(2048,2048)
time=2026-04-02T14:00:19.627-04:00 level=INFO source=model.go:145 msg="vision: preprocess" elapsed=63.4348ms size="[768 768]"
time=2026-04-02T14:00:19.627-04:00 level=INFO source=model.go:148 msg="vision: pixelValues" shape="[768 768 3]" dim0=768 dim1=768 dim2=3
time=2026-04-02T14:00:19.627-04:00 level=INFO source=model.go:152 msg="vision: patches" patchesX=48 patchesY=48 total=2304 patchSize=16
time=2026-04-02T14:00:19.628-04:00 level=INFO source=model.go:156 msg="vision: encoded" elapsed=65.8333ms shape="[2560 256]"
time=2026-04-02T14:00:19.731-04:00 level=DEBUG source=ggml.go:852 msg="compute graph" nodes=684 splits=1
time=2026-04-02T14:00:19.984-04:00 level=DEBUG source=ggml.go:852 msg="compute graph" nodes=1831 splits=16
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=ggml.go:852 msg="compute graph" nodes=1829 splits=16
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:240 msg="model weights" device=CUDA0 size="14.9 GiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:245 msg="model weights" device=CPU size="1.3 GiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:251 msg="kv cache" device=CUDA0 size="2.2 GiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:262 msg="compute graph" device=CUDA0 size="628.0 MiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:267 msg="compute graph" device=CPU size="651.0 MiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:272 msg="total memory" size="19.6 GiB"
... (64 lines left)PR fix notes
PR #15332: ggml: add CUDA flash attention support for head dimension 512 for Gemma4
- Repository: ollama/ollama
- Author: mazphilip
- State: open | merged: False
- Link: https://github.com/ollama/ollama/pull/15332
Description (problem / solution / changelog)
Summary
Backport of ggml-org/llama.cpp#20998 into ollama's ggml backend. I am not sure if there is a formal way how this is done for ollama. The llama.cpp release that contains this fix is: https://github.com/ggml-org/llama.cpp/releases/tag/b8609
Why this is needed:
Gemma4's global attention layers use head_dim=512, which has no CUDA flash attention kernel in the current llama.cpp snapshot. When FA is enabled, these ops silently fall back to CPU, during inference.
ollama runwith short prompts did not noticeably trigger the fallback, but ollama launch claude (and VS Code Copilot) did. Maybe due to large system prompts with tool definitions.
Changes:
Follows ggml-org/llama.cpp#20998
- Add
case 512to MMA and tile kernel dispatch - Add kernel configs for Ampere, Turing, Volta, and RDNA architectures
- Add template instances for D=512
- Exclude D=512 from WMMA path and vector kernel (no D=512 vec templates)
- Add gemma4 to flash attention default whitelist
- this has been added and revoked in #15311 - unclear why revoked and locally this works so I suggest to re-add
Related issues:
Fixes #15237, #15350
Test plan
- Verified on RTX 5090 + RTX 3090 Ti with
gemma4:31b Q4_K_M(FA on, 128K context, 100% GPU)- verified that no CPU spike during
ollama launch claude/vscodewith long system prompts - verified no regression on other tool-enabled models: nemotron-cascade-2, qwen3.5:35b-a3b, gpt-oss:20b
- verified that no CPU spike during
-
go test ./fs/ggml/ ./ml/backend/ggml/passes
Evaluation steps used:
# Dont have vulkan locally, used PATH to CUDA 13.0 nvcc compiler:
cmake -B build -DCMAKE_DISABLE_FIND_PACKAGE_Vulkan=TRUE
cmake --build build -j$(nproc)
go build -o ./ollama .
# Deploy
sudo systemctl stop ollama
sudo cp ./ollama /usr/local/bin/ollama
sudo cp ./build/lib/ollama/libggml-cuda.so /usr/local/lib/ollama/cuda_v13/libggml-cuda.so
sudo systemctl daemon-reload
sudo systemctl start ollama
# Enable FA (not needed with whitelist)
# In /etc/systemd/system/ollama.service.d/override.conf:
# Environment="OLLAMA_FLASH_ATTENTION=1"
# Then: sudo systemctl daemon-reload && sudo systemctl restart ollama
# Test
ollama launch claude
# select model
# "hi"Checks:
ollama ps#if running- nvidia-smi # careful: Memory will be filled but util ramps up then falls to basically 0% after the prompt is triggered
- perf top for cpu util - if FA doesnt work, you should see things like following (I use a Q8 KV cache but it will max out CPU regardless):
48.23% ollama libggml-base.so.0.0.0 [.] dequantize_row_q8_0 |--11.46%--ggml_compute_forward_flash_attn_ext 22.67% ollama libggml-cpu-haswell.so [.] ggml_vec_dot_q8_0_q8_0 |--5.89%--ggml_compute_forward_flash_attn_ext 17.05% ollama libggml-cpu-haswell.so [.] ggml_compute_forward_flash_attn_ext |--2.66%--ggml_compute_forward_flash_attn_ext- Note that Gemma4 has some vision modules on the CPU - these would still be there and not a sign of FA not working
AI disclaimer: AI was used in the triaging and resolution of the issue.
Changed files
fs/ggml/ggml.go(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/fattn-mma-f16.cuh(modified, +23/-1)ml/backend/ggml/ggml/src/ggml-cuda/fattn-tile.cu(modified, +4/-0)ml/backend/ggml/ggml/src/ggml-cuda/fattn-tile.cuh(modified, +29/-8)ml/backend/ggml/ggml/src/ggml-cuda/fattn.cu(modified, +10/-1)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_8.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_16-ncols2_4.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_4.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_8.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_4.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_8.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_4.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_8.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-tile-instance-dkq512-dv512.cu(added, +5/-0)
PR #15378: gemma4: enable flash attention
- Repository: ollama/ollama
- Author: dhiltgen
- State: closed | merged: True
- Link: https://github.com/ollama/ollama/pull/15378
Description (problem / solution / changelog)
Backport GGML kernels so we can enable flash attention for the gemma 4 model on Metal and CUDA.
No significant performance change, but this does reduce VRAM usage thus allowing larger context sizes.
Fixes #15368 Fixes #15350 Fixes #15237
Changed files
fs/ggml/ggml.go(modified, +1/-0)llama/patches/0020-ggml-No-alloc-mode.patch(modified, +23/-22)llama/patches/0022-ggml-Enable-resetting-backend-devices.patch(modified, +2/-2)llama/patches/0024-GPU-discovery-enhancements.patch(modified, +2/-2)llama/patches/0036-backport-kernels-for-gemma4.patch(added, +416/-0)ml/backend/ggml/ggml/src/ggml-cuda/fattn-mma-f16.cuh(modified, +25/-1)ml/backend/ggml/ggml/src/ggml-cuda/fattn-tile.cu(modified, +4/-0)ml/backend/ggml/ggml/src/ggml-cuda/fattn-tile.cuh(modified, +29/-8)ml/backend/ggml/ggml/src/ggml-cuda/fattn.cu(modified, +10/-1)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_8.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_16-ncols2_4.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_4.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_8.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_4.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_8.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_4.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_8.cu(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-metal/ggml-metal-device.m(modified, +1/-0)ml/backend/ggml/ggml/src/ggml-metal/ggml-metal-embed.metal(modified, +19/-0)ml/backend/ggml/ggml/src/ggml-metal/ggml-metal.metal(modified, +19/-0)
Code Example
time=2026-04-02T13:59:15.592-04:00 level=INFO source=routes.go:1744 msg="server config" env="map[CUDA_VISIBLE_DEVICES: GGML_VK_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_CONTEXT_LENGTH:0 OLLAMA_DEBUG:DEBUG OLLAMA_DEBUG_LOG_REQUESTS:false OLLAMA_EDITOR: OLLAMA_FLASH_ATTENTION:true OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://127.0.0.1:11434 OLLAMA_KEEP_ALIVE:5m0s OLLAMA_KV_CACHE_TYPE: OLLAMA_LLM_LIBRARY: OLLAMA_LOAD_TIMEOUT:5m0s OLLAMA_MAX_LOADED_MODELS:1 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:d:\\dev\\models\\llm OLLAMA_MULTIUSER_CACHE:false OLLAMA_NEW_ENGINE:true OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NO_CLOUD: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:* app://* file://* tauri://* vscode-webview://* vscode-file://*] OLLAMA_REMOTES:[ollama.com] OLLAMA_SCHED_SPREAD:false OLLAMA_VULKAN:false ROCR_VISIBLE_DEVICES:]"
time=2026-04-02T13:59:15.593-04:00 level=INFO source=routes.go:1746 msg="Ollama cloud disabled: false"
time=2026-04-02T13:59:15.618-04:00 level=INFO source=images.go:499 msg="total blobs: 650"
time=2026-04-02T13:59:15.630-04:00 level=INFO source=images.go:506 msg="total unused blobs removed: 0"
time=2026-04-02T13:59:15.635-04:00 level=INFO source=routes.go:1802 msg="Listening on 127.0.0.1:11434 (version 0.20.0-rc0)"
time=2026-04-02T13:59:15.635-04:00 level=DEBUG source=sched.go:145 msg="starting llm scheduler"
time=2026-04-02T13:59:15.635-04:00 level=INFO source=runner.go:67 msg="discovering available GPUs..."
time=2026-04-02T13:59:15.646-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 52435"
time=2026-04-02T13:59:15.646-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v12;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v12
time=2026-04-02T13:59:15.920-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=281.4062ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v12]" extra_envs=map[]
time=2026-04-02T13:59:15.921-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 52440"
time=2026-04-02T13:59:15.921-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
time=2026-04-02T13:59:16.189-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=268.9693ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13]" extra_envs=map[]
time=2026-04-02T13:59:16.189-04:00 level=INFO source=runner.go:106 msg="experimental Vulkan support disabled. To enable, set OLLAMA_VULKAN=1"
time=2026-04-02T13:59:16.189-04:00 level=DEBUG source=runner.go:124 msg="evaluating which, if any, devices to filter out" initial_count=2
time=2026-04-02T13:59:16.189-04:00 level=DEBUG source=runner.go:146 msg="verifying if device is supported" library=D:\dev\ollama-server\ollama\lib\ollama\cuda_v12 description="NVIDIA GeForce RTX 5090" compute=12.0 id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 pci_id=0000:01:00.0
time=2026-04-02T13:59:16.189-04:00 level=DEBUG source=runner.go:146 msg="verifying if device is supported" library=D:\dev\ollama-server\ollama\lib\ollama\cuda_v13 description="NVIDIA GeForce RTX 5090" compute=12.0 id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 pci_id=0000:01:00.0
time=2026-04-02T13:59:16.190-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 52445"
time=2026-04-02T13:59:16.190-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 52446"
time=2026-04-02T13:59:16.190-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v12;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v12 CUDA_VISIBLE_DEVICES=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 GGML_CUDA_INIT=1
time=2026-04-02T13:59:16.190-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v13 CUDA_VISIBLE_DEVICES=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 GGML_CUDA_INIT=1
time=2026-04-02T13:59:16.354-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=164.5379ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13]" extra_envs="map[CUDA_VISIBLE_DEVICES:GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 GGML_CUDA_INIT:1]"
time=2026-04-02T13:59:16.465-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=275.8555ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v12]" extra_envs="map[CUDA_VISIBLE_DEVICES:GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 GGML_CUDA_INIT:1]"
time=2026-04-02T13:59:16.465-04:00 level=DEBUG source=runner.go:401 msg="filtering device with overlapping libraries" id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 library=D:\dev\ollama-server\ollama\lib\ollama\cuda_v12 delete_index=0 kept_library=D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
time=2026-04-02T13:59:16.465-04:00 level=DEBUG source=runner.go:40 msg="GPU bootstrap discovery took" duration=829.9088ms
time=2026-04-02T13:59:16.465-04:00 level=INFO source=types.go:42 msg="inference compute" id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 filter_id="" library=CUDA compute=12.0 name=CUDA0 description="NVIDIA GeForce RTX 5090" libdirs=ollama,cuda_v13 driver=13.2 pci_id=0000:01:00.0 type=discrete total="31.8 GiB" available="30.3 GiB"
time=2026-04-02T13:59:16.465-04:00 level=INFO source=routes.go:1852 msg="vram-based default context" total_vram="31.8 GiB" default_num_ctx=32768
[GIN] 2026/04/02 - 14:00:08 | 200 | 26.9792ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 28.1036ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 26.0192ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 23.369ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 24.2709ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 24.3459ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 22.4509ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 22.9703ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:18 | 200 | 25.8204ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:18 | 200 | 23.8954ms | 127.0.0.1 | GET "/api/tags"
time=2026-04-02T14:00:19.013-04:00 level=DEBUG source=runner.go:264 msg="refreshing free memory"
time=2026-04-02T14:00:19.013-04:00 level=DEBUG source=runner.go:328 msg="unable to refresh all GPUs with existing runners, performing bootstrap discovery"
time=2026-04-02T14:00:19.016-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 58380"
time=2026-04-02T14:00:19.017-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
time=2026-04-02T14:00:19.298-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=284.433ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13]" extra_envs=map[]
time=2026-04-02T14:00:19.298-04:00 level=DEBUG source=runner.go:40 msg="overall device VRAM discovery took" duration=284.433ms
time=2026-04-02T14:00:19.298-04:00 level=INFO source=cpu_windows.go:148 msg=packages count=1
time=2026-04-02T14:00:19.298-04:00 level=INFO source=cpu_windows.go:195 msg="" package=0 cores=16 efficiency=0 threads=32
time=2026-04-02T14:00:19.298-04:00 level=DEBUG source=sched.go:229 msg="loading first model" model=d:\dev\models\llm\blobs\sha256-cbdeb708e2000122364bf1a63b8aa009504201863def6fb69da784681866a6c6
time=2026-04-02T14:00:19.361-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.alignment default=32
time=2026-04-02T14:00:19.399-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.alignment default=32
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.pooling_type default=0
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=tokenizer.ggml.eot_token_id default=106
time=2026-04-02T14:00:19.402-04:00 level=INFO source=model.go:97 msg="gemma4: token IDs" image=255999 image_end=258882 audio=256000 audio_end=258883
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.attention.global_head_count_kv default=0
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.attention.head_count_kv default="&{size:0 values:[]}"
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.expert_count default=0
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.expert_used_count default=0
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.audio.num_mel_bins default=128
time=2026-04-02T14:00:19.402-04:00 level=INFO source=server.go:247 msg="enabling flash attention"
time=2026-04-02T14:00:19.403-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --model d:\\dev\\models\\llm\\blobs\\sha256-cbdeb708e2000122364bf1a63b8aa009504201863def6fb69da784681866a6c6 --port 58385"
time=2026-04-02T14:00:19.403-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
time=2026-04-02T14:00:19.405-04:00 level=INFO source=sched.go:484 msg="system memory" total="93.6 GiB" free="76.2 GiB" free_swap="76.3 GiB"
time=2026-04-02T14:00:19.405-04:00 level=INFO source=sched.go:491 msg="gpu memory" id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 library=CUDA available="29.8 GiB" free="30.3 GiB" minimum="457.0 MiB" overhead="0 B"
time=2026-04-02T14:00:19.406-04:00 level=INFO source=server.go:759 msg="loading model" "model layers"=43 requested=-1
time=2026-04-02T14:00:19.435-04:00 level=INFO source=runner.go:1417 msg="starting ollama engine"
time=2026-04-02T14:00:19.436-04:00 level=INFO source=runner.go:1452 msg="Server listening on 127.0.0.1:58385"
time=2026-04-02T14:00:19.438-04:00 level=INFO source=runner.go:1290 msg=load request="{Operation:fit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:Enabled KvSize:130000 KvCacheType: NumThreads:16 GPULayers:43[ID:GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 Layers:43(0..42)] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}"
time=2026-04-02T14:00:19.471-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.alignment default=32
time=2026-04-02T14:00:19.473-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.name default=""
time=2026-04-02T14:00:19.473-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.description default=""
time=2026-04-02T14:00:19.473-04:00 level=INFO source=ggml.go:136 msg="" architecture=gemma4 file_type=F16 name="" description="" num_tensors=2131 num_key_values=55
time=2026-04-02T14:00:19.473-04:00 level=DEBUG source=ggml.go:94 msg="ggml backend load all from path" path=D:\dev\ollama-server\ollama\lib\ollama
load_backend: loaded CPU backend from D:\dev\ollama-server\ollama\lib\ollama\ggml-cpu-icelake.dll
time=2026-04-02T14:00:19.485-04:00 level=DEBUG source=ggml.go:94 msg="ggml backend load all from path" path=D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 1 CUDA devices:
Device 0: NVIDIA GeForce RTX 5090, compute capability 12.0, VMM: yes, ID: GPU-68a69638-eb9a-ef06-c025-5d8b66415f00
load_backend: loaded CUDA backend from D:\dev\ollama-server\ollama\lib\ollama\cuda_v13\ggml-cuda.dll
time=2026-04-02T14:00:19.543-04:00 level=INFO source=ggml.go:104 msg=system CPU.0.SSE3=1 CPU.0.SSSE3=1 CPU.0.AVX=1 CPU.0.AVX2=1 CPU.0.F16C=1 CPU.0.FMA=1 CPU.0.BMI2=1 CPU.0.AVX512=1 CPU.0.AVX512_VBMI=1 CPU.0.AVX512_VNNI=1 CPU.0.LLAMAFILE=1 CPU.1.LLAMAFILE=1 CUDA.0.ARCHS=750,800,860,870,890,900,1000,1030,1100,1200,1210 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(clang)
time=2026-04-02T14:00:19.552-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.pooling_type default=0
time=2026-04-02T14:00:19.552-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=tokenizer.ggml.eot_token_id default=106
time=2026-04-02T14:00:19.553-04:00 level=INFO source=model.go:97 msg="gemma4: token IDs" image=255999 image_end=258882 audio=256000 audio_end=258883
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.attention.global_head_count_kv default=0
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.attention.head_count_kv default="&{size:0 values:[]}"
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.expert_count default=0
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.expert_used_count default=0
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.audio.num_mel_bins default=128
time=2026-04-02T14:00:19.564-04:00 level=INFO source=model.go:138 msg="vision: decode" elapsed=1.5334ms bounds=(0,0)-(2048,2048)
time=2026-04-02T14:00:19.627-04:00 level=INFO source=model.go:145 msg="vision: preprocess" elapsed=63.4348ms size="[768 768]"
time=2026-04-02T14:00:19.627-04:00 level=INFO source=model.go:148 msg="vision: pixelValues" shape="[768 768 3]" dim0=768 dim1=768 dim2=3
time=2026-04-02T14:00:19.627-04:00 level=INFO source=model.go:152 msg="vision: patches" patchesX=48 patchesY=48 total=2304 patchSize=16
time=2026-04-02T14:00:19.628-04:00 level=INFO source=model.go:156 msg="vision: encoded" elapsed=65.8333ms shape="[2560 256]"
time=2026-04-02T14:00:19.731-04:00 level=DEBUG source=ggml.go:852 msg="compute graph" nodes=684 splits=1
time=2026-04-02T14:00:19.984-04:00 level=DEBUG source=ggml.go:852 msg="compute graph" nodes=1831 splits=16
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=ggml.go:852 msg="compute graph" nodes=1829 splits=16
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:240 msg="model weights" device=CUDA0 size="14.9 GiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:245 msg="model weights" device=CPU size="1.3 GiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:251 msg="kv cache" device=CUDA0 size="2.2 GiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:262 msg="compute graph" device=CUDA0 size="628.0 MiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:267 msg="compute graph" device=CPU size="651.0 MiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:272 msg="total memory" size="19.6 GiB"
... (64 lines left)RAW_BUFFERClick to expand / collapse
What is the issue?
Models seems to load into GPU then jump to CPU. PS shows model running in GPU.
I tried 2b and 4b bf16, and the 26/31b 4q on 5090 with context set to 130k
Example output from ps. gemma4:e2b-it-bf16 850bc7fea32f 12 GB 100% GPU 130000 57 minutes from now
From the log: time=2026-04-02T14:00:19.543-04:00 level=INFO source=ggml.go:104 msg=system CPU.0.SSE3=1 CPU.0.SSSE3=1 CPU.0.AVX=1 CPU.0.AVX2=1 CPU.0.F16C=1 CPU.0.FMA=1 CPU.0.BMI2=1 CPU.0.AVX512=1 CPU.0.AVX512_VBMI=1 CPU.0.AVX512_VNNI=1 CPU.0.LLAMAFILE=1 CPU.1.LLAMAFILE=1 CUDA.0.ARCHS=750,800,860,870,890,900,1000,1030,1100,1200,1210 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(clang)
Relevant log output
time=2026-04-02T13:59:15.592-04:00 level=INFO source=routes.go:1744 msg="server config" env="map[CUDA_VISIBLE_DEVICES: GGML_VK_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_CONTEXT_LENGTH:0 OLLAMA_DEBUG:DEBUG OLLAMA_DEBUG_LOG_REQUESTS:false OLLAMA_EDITOR: OLLAMA_FLASH_ATTENTION:true OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://127.0.0.1:11434 OLLAMA_KEEP_ALIVE:5m0s OLLAMA_KV_CACHE_TYPE: OLLAMA_LLM_LIBRARY: OLLAMA_LOAD_TIMEOUT:5m0s OLLAMA_MAX_LOADED_MODELS:1 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:d:\\dev\\models\\llm OLLAMA_MULTIUSER_CACHE:false OLLAMA_NEW_ENGINE:true OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NO_CLOUD: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:* app://* file://* tauri://* vscode-webview://* vscode-file://*] OLLAMA_REMOTES:[ollama.com] OLLAMA_SCHED_SPREAD:false OLLAMA_VULKAN:false ROCR_VISIBLE_DEVICES:]"
time=2026-04-02T13:59:15.593-04:00 level=INFO source=routes.go:1746 msg="Ollama cloud disabled: false"
time=2026-04-02T13:59:15.618-04:00 level=INFO source=images.go:499 msg="total blobs: 650"
time=2026-04-02T13:59:15.630-04:00 level=INFO source=images.go:506 msg="total unused blobs removed: 0"
time=2026-04-02T13:59:15.635-04:00 level=INFO source=routes.go:1802 msg="Listening on 127.0.0.1:11434 (version 0.20.0-rc0)"
time=2026-04-02T13:59:15.635-04:00 level=DEBUG source=sched.go:145 msg="starting llm scheduler"
time=2026-04-02T13:59:15.635-04:00 level=INFO source=runner.go:67 msg="discovering available GPUs..."
time=2026-04-02T13:59:15.646-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 52435"
time=2026-04-02T13:59:15.646-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v12;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v12
time=2026-04-02T13:59:15.920-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=281.4062ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v12]" extra_envs=map[]
time=2026-04-02T13:59:15.921-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 52440"
time=2026-04-02T13:59:15.921-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
time=2026-04-02T13:59:16.189-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=268.9693ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13]" extra_envs=map[]
time=2026-04-02T13:59:16.189-04:00 level=INFO source=runner.go:106 msg="experimental Vulkan support disabled. To enable, set OLLAMA_VULKAN=1"
time=2026-04-02T13:59:16.189-04:00 level=DEBUG source=runner.go:124 msg="evaluating which, if any, devices to filter out" initial_count=2
time=2026-04-02T13:59:16.189-04:00 level=DEBUG source=runner.go:146 msg="verifying if device is supported" library=D:\dev\ollama-server\ollama\lib\ollama\cuda_v12 description="NVIDIA GeForce RTX 5090" compute=12.0 id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 pci_id=0000:01:00.0
time=2026-04-02T13:59:16.189-04:00 level=DEBUG source=runner.go:146 msg="verifying if device is supported" library=D:\dev\ollama-server\ollama\lib\ollama\cuda_v13 description="NVIDIA GeForce RTX 5090" compute=12.0 id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 pci_id=0000:01:00.0
time=2026-04-02T13:59:16.190-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 52445"
time=2026-04-02T13:59:16.190-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 52446"
time=2026-04-02T13:59:16.190-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v12;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v12 CUDA_VISIBLE_DEVICES=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 GGML_CUDA_INIT=1
time=2026-04-02T13:59:16.190-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v13 CUDA_VISIBLE_DEVICES=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 GGML_CUDA_INIT=1
time=2026-04-02T13:59:16.354-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=164.5379ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13]" extra_envs="map[CUDA_VISIBLE_DEVICES:GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 GGML_CUDA_INIT:1]"
time=2026-04-02T13:59:16.465-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=275.8555ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v12]" extra_envs="map[CUDA_VISIBLE_DEVICES:GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 GGML_CUDA_INIT:1]"
time=2026-04-02T13:59:16.465-04:00 level=DEBUG source=runner.go:401 msg="filtering device with overlapping libraries" id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 library=D:\dev\ollama-server\ollama\lib\ollama\cuda_v12 delete_index=0 kept_library=D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
time=2026-04-02T13:59:16.465-04:00 level=DEBUG source=runner.go:40 msg="GPU bootstrap discovery took" duration=829.9088ms
time=2026-04-02T13:59:16.465-04:00 level=INFO source=types.go:42 msg="inference compute" id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 filter_id="" library=CUDA compute=12.0 name=CUDA0 description="NVIDIA GeForce RTX 5090" libdirs=ollama,cuda_v13 driver=13.2 pci_id=0000:01:00.0 type=discrete total="31.8 GiB" available="30.3 GiB"
time=2026-04-02T13:59:16.465-04:00 level=INFO source=routes.go:1852 msg="vram-based default context" total_vram="31.8 GiB" default_num_ctx=32768
[GIN] 2026/04/02 - 14:00:08 | 200 | 26.9792ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 28.1036ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 26.0192ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 23.369ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 24.2709ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 24.3459ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 22.4509ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:09 | 200 | 22.9703ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:18 | 200 | 25.8204ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/04/02 - 14:00:18 | 200 | 23.8954ms | 127.0.0.1 | GET "/api/tags"
time=2026-04-02T14:00:19.013-04:00 level=DEBUG source=runner.go:264 msg="refreshing free memory"
time=2026-04-02T14:00:19.013-04:00 level=DEBUG source=runner.go:328 msg="unable to refresh all GPUs with existing runners, performing bootstrap discovery"
time=2026-04-02T14:00:19.016-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --port 58380"
time=2026-04-02T14:00:19.017-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
time=2026-04-02T14:00:19.298-04:00 level=DEBUG source=runner.go:437 msg="bootstrap discovery took" duration=284.433ms OLLAMA_LIBRARY_PATH="[D:\\dev\\ollama-server\\ollama\\lib\\ollama D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13]" extra_envs=map[]
time=2026-04-02T14:00:19.298-04:00 level=DEBUG source=runner.go:40 msg="overall device VRAM discovery took" duration=284.433ms
time=2026-04-02T14:00:19.298-04:00 level=INFO source=cpu_windows.go:148 msg=packages count=1
time=2026-04-02T14:00:19.298-04:00 level=INFO source=cpu_windows.go:195 msg="" package=0 cores=16 efficiency=0 threads=32
time=2026-04-02T14:00:19.298-04:00 level=DEBUG source=sched.go:229 msg="loading first model" model=d:\dev\models\llm\blobs\sha256-cbdeb708e2000122364bf1a63b8aa009504201863def6fb69da784681866a6c6
time=2026-04-02T14:00:19.361-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.alignment default=32
time=2026-04-02T14:00:19.399-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.alignment default=32
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.pooling_type default=0
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=tokenizer.ggml.eot_token_id default=106
time=2026-04-02T14:00:19.402-04:00 level=INFO source=model.go:97 msg="gemma4: token IDs" image=255999 image_end=258882 audio=256000 audio_end=258883
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.attention.global_head_count_kv default=0
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.attention.head_count_kv default="&{size:0 values:[]}"
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.expert_count default=0
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.expert_used_count default=0
time=2026-04-02T14:00:19.402-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.audio.num_mel_bins default=128
time=2026-04-02T14:00:19.402-04:00 level=INFO source=server.go:247 msg="enabling flash attention"
time=2026-04-02T14:00:19.403-04:00 level=INFO source=server.go:432 msg="starting runner" cmd="D:\\dev\\ollama-server\\ollama\\ollama.exe runner --ollama-engine --model d:\\dev\\models\\llm\\blobs\\sha256-cbdeb708e2000122364bf1a63b8aa009504201863def6fb69da784681866a6c6 --port 58385"
time=2026-04-02T14:00:19.403-04:00 level=DEBUG source=server.go:433 msg=subprocess CUDA_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" CUDA_PATH_V13_0="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0" CUDA_PATH_V13_1="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1" OLLAMA_API_BASE=http://127.0.0.1:11434 OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_MODELS=d:\dev\models\llm OLLAMA_NEW_ENGINE=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=1 PATH="D:\\dev\\ollama-server\\ollama\\lib\\ollama;D:\\dev\\ollama-server\\ollama\\lib\\ollama\\cuda_v13;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.1\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin\\x64;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13.0\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Windows\\System32\\OpenSSH\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA App\\NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files\\GitHub CLI\\;C:\\Program Files\\Git\\cmd;C:\\Program Files\\dotnet\\;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2025.4.1\\;D:\\dev\\ollama-server\\ollama;D:\\dev\\Python\\Python314\\Scripts\\;D:\\dev\\Python\\Python314\\;C:\\Users\\willi\\AppData\\Local\\Programs\\Python\\Launcher\\;C:\\Users\\willi\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\willi\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\willi\\AppData\\Local\\Programs\\Microsoft VS Code\\bin;C:\\Users\\willi\\.dotnet\\tools;" OLLAMA_LIBRARY_PATH=D:\dev\ollama-server\ollama\lib\ollama;D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
time=2026-04-02T14:00:19.405-04:00 level=INFO source=sched.go:484 msg="system memory" total="93.6 GiB" free="76.2 GiB" free_swap="76.3 GiB"
time=2026-04-02T14:00:19.405-04:00 level=INFO source=sched.go:491 msg="gpu memory" id=GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 library=CUDA available="29.8 GiB" free="30.3 GiB" minimum="457.0 MiB" overhead="0 B"
time=2026-04-02T14:00:19.406-04:00 level=INFO source=server.go:759 msg="loading model" "model layers"=43 requested=-1
time=2026-04-02T14:00:19.435-04:00 level=INFO source=runner.go:1417 msg="starting ollama engine"
time=2026-04-02T14:00:19.436-04:00 level=INFO source=runner.go:1452 msg="Server listening on 127.0.0.1:58385"
time=2026-04-02T14:00:19.438-04:00 level=INFO source=runner.go:1290 msg=load request="{Operation:fit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:Enabled KvSize:130000 KvCacheType: NumThreads:16 GPULayers:43[ID:GPU-68a69638-eb9a-ef06-c025-5d8b66415f00 Layers:43(0..42)] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}"
time=2026-04-02T14:00:19.471-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.alignment default=32
time=2026-04-02T14:00:19.473-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.name default=""
time=2026-04-02T14:00:19.473-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=general.description default=""
time=2026-04-02T14:00:19.473-04:00 level=INFO source=ggml.go:136 msg="" architecture=gemma4 file_type=F16 name="" description="" num_tensors=2131 num_key_values=55
time=2026-04-02T14:00:19.473-04:00 level=DEBUG source=ggml.go:94 msg="ggml backend load all from path" path=D:\dev\ollama-server\ollama\lib\ollama
load_backend: loaded CPU backend from D:\dev\ollama-server\ollama\lib\ollama\ggml-cpu-icelake.dll
time=2026-04-02T14:00:19.485-04:00 level=DEBUG source=ggml.go:94 msg="ggml backend load all from path" path=D:\dev\ollama-server\ollama\lib\ollama\cuda_v13
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 1 CUDA devices:
Device 0: NVIDIA GeForce RTX 5090, compute capability 12.0, VMM: yes, ID: GPU-68a69638-eb9a-ef06-c025-5d8b66415f00
load_backend: loaded CUDA backend from D:\dev\ollama-server\ollama\lib\ollama\cuda_v13\ggml-cuda.dll
time=2026-04-02T14:00:19.543-04:00 level=INFO source=ggml.go:104 msg=system CPU.0.SSE3=1 CPU.0.SSSE3=1 CPU.0.AVX=1 CPU.0.AVX2=1 CPU.0.F16C=1 CPU.0.FMA=1 CPU.0.BMI2=1 CPU.0.AVX512=1 CPU.0.AVX512_VBMI=1 CPU.0.AVX512_VNNI=1 CPU.0.LLAMAFILE=1 CPU.1.LLAMAFILE=1 CUDA.0.ARCHS=750,800,860,870,890,900,1000,1030,1100,1200,1210 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(clang)
time=2026-04-02T14:00:19.552-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.pooling_type default=0
time=2026-04-02T14:00:19.552-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=tokenizer.ggml.eot_token_id default=106
time=2026-04-02T14:00:19.553-04:00 level=INFO source=model.go:97 msg="gemma4: token IDs" image=255999 image_end=258882 audio=256000 audio_end=258883
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.attention.global_head_count_kv default=0
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.attention.head_count_kv default="&{size:0 values:[]}"
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.expert_count default=0
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.expert_used_count default=0
time=2026-04-02T14:00:19.553-04:00 level=DEBUG source=ggml.go:325 msg="key with type not found" key=gemma4.audio.num_mel_bins default=128
time=2026-04-02T14:00:19.564-04:00 level=INFO source=model.go:138 msg="vision: decode" elapsed=1.5334ms bounds=(0,0)-(2048,2048)
time=2026-04-02T14:00:19.627-04:00 level=INFO source=model.go:145 msg="vision: preprocess" elapsed=63.4348ms size="[768 768]"
time=2026-04-02T14:00:19.627-04:00 level=INFO source=model.go:148 msg="vision: pixelValues" shape="[768 768 3]" dim0=768 dim1=768 dim2=3
time=2026-04-02T14:00:19.627-04:00 level=INFO source=model.go:152 msg="vision: patches" patchesX=48 patchesY=48 total=2304 patchSize=16
time=2026-04-02T14:00:19.628-04:00 level=INFO source=model.go:156 msg="vision: encoded" elapsed=65.8333ms shape="[2560 256]"
time=2026-04-02T14:00:19.731-04:00 level=DEBUG source=ggml.go:852 msg="compute graph" nodes=684 splits=1
time=2026-04-02T14:00:19.984-04:00 level=DEBUG source=ggml.go:852 msg="compute graph" nodes=1831 splits=16
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=ggml.go:852 msg="compute graph" nodes=1829 splits=16
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:240 msg="model weights" device=CUDA0 size="14.9 GiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:245 msg="model weights" device=CPU size="1.3 GiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:251 msg="kv cache" device=CUDA0 size="2.2 GiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:262 msg="compute graph" device=CUDA0 size="628.0 MiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:267 msg="compute graph" device=CPU size="651.0 MiB"
time=2026-04-02T14:00:19.996-04:00 level=DEBUG source=device.go:272 msg="total memory" size="19.6 GiB"
... (64 lines left)OS
Windows
GPU
Nvidia
CPU
AMD
Ollama version
0.20.0-rc1
extent analysis
TL;DR
The issue might be related to the model loading into GPU memory and then being transferred to CPU, potentially due to insufficient GPU resources or incorrect configuration.
Guidance
- Verify GPU resources: Ensure that the GPU has sufficient memory to handle the model. The log indicates that the GPU has 31.8 GiB of total VRAM and 30.3 GiB of available VRAM.
- Check model configuration: Review the model configuration to ensure that it is set up to run on the GPU. The log shows that the model is loaded into GPU memory, but it may be transferred to CPU due to insufficient resources or incorrect configuration.
- Adjust Ollama settings: Consider adjusting Ollama settings, such as
OLLAMA_MAX_LOADED_MODELSorOLLAMA_GPU_OVERHEAD, to optimize GPU resource utilization. - Monitor system resources: Keep an eye on system resources, including GPU and CPU usage, to identify potential bottlenecks.
Example
No specific code example is provided, as the issue appears to be related to configuration and resource utilization rather than code.
Notes
The issue may be specific to the Ollama version (0.20.0-rc1) or the combination of hardware (Nvidia GPU and AMD CPU) and software (Windows OS) being used.
Recommendation
Apply a workaround by adjusting Ollama settings to optimize GPU resource utilization, such as reducing the number of loaded models or adjusting the GPU overhead setting.
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- [Xiaomi MiMo] Credentials validation fails with 400 "Not supported model mimo-v2-flash" when using Token Plan endpoint (v0.0.7)
- After clicking preview on a parent-child segmented knowledge base, it shows 0 chunks
- Retrieval score differs between UI upload (.docx) and API upload (.txt) despite identical chunk content and embedding model
- gemini cli crash again
- Xbox gift card code damage
- Damage caused by the gemini cli crash
- ioctl(2) failed, EBADF (Bad File Descriptor)
- Feat: Support Bun as an alternative runtime/package manager for updates and extensions
- fatal error again!!!!
- ioctl error
- Critical Crash: ioctl(2) failed, EBADF in ShellExecutionService.resizePty
- ioctl(2) failed, EBADF
- v0.44.0 Regression: Critical crash with ioctl(2) failed, EBADF during PTY resize
- Crash on startup: ioctl(2) failed, EBADF in UnixTerminal.resize
- Crash: `ioctl(2) failed, EBADF` in `node-pty` during PTY resize on macOS
- Gemini CLI crashes with `ioctl(2) failed, EBADF` in `node-pty` during `resizePty`
- Remote Role
- ERROR ioctl(2) failed, EBADF /home/mich
- RangeError: Maximum call stack size exceeded
- EBADF Error during folder creationg broke session and terminal glitches
- MAIP / Gargoub Project - Mediterania - North Coast
- Gemini cli crash again in this morning
- ERROR ioctl(2) failed, EBADF
- Verified node install fails — Checksum verification failed (Cloud)
- The extended debugging key did not arrive during registration.
- CollaborationPane unmounts collaboration store on single-user instances, causing permanent "No network connection" state
- Workflow cannot be saved when the name contains "->" (Potentially malicious string)
- automation does not work and does not show an error
- Raj Ai Automation
- Default Data Loader: DOMMatrix is not defined error
- Feature: Per-node execution timestamp overlay on canvas during workflow run
- AI Agent + Vertex `gemini-3.5-flash`: 400 "missing thought_signature" on sequential multi-turn tool calls (post-#24982)
- PDF Loader in Pinecone Vector Store fails due to pdf-parse version conflict (v2 not supported)
- emailReadImap: add UID deduplication, batch size cap, and numeric uid enforcement
- Manual node execution fails with "Could not find a node" when autosave is disabled (N8N_WORKFLOWS_AUTOSAVE_DISABLED)
- Schedule Trigger stopped firing — workflow Published & active, manual executions succeed, no automated fires for 2+ hours
- [MCP SDK] create_workflow_from_code intermittently returns HTTP 500, often as a false negative (workflow persists anyway, causing duplicates on retry)
- Credential-load wedge: workflows using googleApi/jwtAuth credentials silently fail to execute after key rotation
- Google Sheets Trigger every minute is not working manual Execute is working sent email
- [BUG] Plugin marketplace MCP connector remains stuck "still connecting" when mcp-remote requires OAuth
- [redacted at user request]
- Opus 4.7 behavioral regression: loaded instruction-following discipline degraded in recent Claude Code/Cowork updates
- [BUG] Tailscale via Homebrew CLI + Mac App Store GUI, both Macs on macOS, Cowork blocked by VPN detector despite Tailscale being a mesh VPN with no traffic interception
- stopShellPty on tab switch kills active sessions (exit 143) — regression in May 27 build
- [BUG] Long URLs are broken into multiple lines and become unclickable in terminal output
- [BUG] claude rm/stop/reap SIGKILLs background session tree without SIGTERM grace, orphaning git index.lock and similar
- [BUG] Default git workflow in the system prompt was pushed without context or consent
- [MODEL] Inconsistent output quality / Ignoring instructions (overfitting and inappropriate repetition of Korean vocabulary)
- You've hit your weekly limit · resets May 31 at 5pm (Asia/Shanghai)
- Paid yearly subscription silently downgraded to Free with no user action
- [Regression v2.1.153] Plugin bash hooks fail with "echo: write error: Permission denied" on Windows (claude-mem, shell: "bash")
- [BUG] Connector toggles in conversation are not clickable — must click text label instead
- [remote-control] Input from mobile app/browser not reaching host session — output works fine
- Model fails to read/reference CLAUDE.md contents despite being loaded in context
- [BUG] Claude Desktop reinstall destroys Code chat history (transcripts + Recents) while regular Chat history, project files, and memory all survive
- Bypass mode clamps to Accept Edits even with the toggle ON (Claude Code Desktop 1.9255.2 / CC 2.1.149)
- [BUG] TUI input freezes randomly mid-typing — entire prompt becomes unresponsive for minutes
- [BUG] Cowork downloads Linux ELF binary instead of macOS binary on macOS Sonoma 14.8.7 — exit code 132 (SIGILL) on every session
- [Feature Request] Persistent project memory — sessions forget everything on close, forcing users to keep many sessions open
- [Bug] Thread context stale after sleep/resume, returns outdated date and calendar data
- [FEATURE] Add context window usage indicator and warning before auto-compaction
- [BUG] Dictation error: Invalid character in header content ["x-config-keyterms"] on Windows
- [Bug] Anthropic API Error: Server rate limiting despite normal usage
- Does delegating work to `claude -p` subprocesses reduce context accumulation in the parent session?
- [BUG] Claude Code hangs on M1 Mac when terminal says "opening browser to sign in" and browser opens
- [BUG] Claude_Preview MCP preview_start spawns dev server with main-repo cwd instead of session's worktree cwd
- [Bug] Anthropic API Error: Server rate limiting during request execution
- [Bug] Anthropic API Error: Server rate limiting on concurrent requests
- [Bug] Ultraplan ready notification fires before cloud agent completes execution
- [BUG] API 500 ERROR ALL THROUGHOUT THE DAY
- [BUG] Cowork: Live Artifacts folder path changed in 1.9255.2, no automatic migration from Documents\Claude\Artifacts
- [Bug] Auto-compact never triggers despite statusline reporting "100% context used" (v2.1.153, Max sub, 200K mode)
- [BUG] [Desktop / macOS] 'Open in → New Window' detached session: font renders smaller than main, no per-window controls, Cmd+/Cmd- keystrokes routed to main window instead
- Feature request: option to switch between classic and new minimal UI
- [Feature Request] Show timestamps for each message
- [BUG] Terminal corruption when permission prompt appears while navigating Agent Teams agent selection menu
- [FEATURE] Allow users to customize the background color of the Claude desktop app beyond the current light/dark theme presets.
- [BUG] Statusline not displaying on Windows [fixed]
- Background agent UI Stop button is a no-op for stuck agents — process keeps consuming tokens
- Background agents silently die on session pause/resume — no completion notification, no work recovery
- Add option to hide email address from welcome banner
- [BUG] SSH Remote: `projects` field in remote ~/.claude.json becomes null after desktop restart — jsonl files intact, UI shows 'No messages yet' for every session
- [Bug] Claude Code not applying fixes despite claiming to complete tasks
- billing is unfair and poorly documented
- [BUG] Claude Code on the web: declared plugins inactive on first session, require restart to fully load
- [BUG] Restore from archive deleted sessions instead of restoring them
- [BUG] M365 connector fails with AADSTS50011 in Cowork — localhost vs 127.0.0.1 redirect URI mismatch
- claude agents: workflow slash-commands missing from dispatch-input completion (regression-adjacent to #61424)
- Claude Desktop's Info.plist missing TCC usage strings, blocks all EventKit-based MCP servers
- False-positive safety blocks on self-administered governance amendments — request for owner-authority mode for verified professional users
- [BUG] Stop pushing "AUTO"-mode
- [DOCS] Plugin marketplace guide omits `skipLfs` option for git-based sources
- [DOCS] MCP docs omit combined startup notification for MCP server and connector authentication
- [DOCS] Agent view docs omit macOS Privacy & Security identity for background agents
- [DOCS] Npm update docs do not explain release-channel behavior for `claude update`
- [DOCS] Agent SDK docs omit `subagent_type: "claude"` worktree and output persistence behavior
- [DOCS] Background session docs omit `$CLAUDE_JOB_DIR` temp-file behavior
- [FR] mask env-var values in 'claude mcp get <server>' output
- [FR] subagent worktrees should not inherit stale local 'user.email' from prior dispatches
- [BUG] Windows: Grep tool leaks rg.exe + conhost.exe processes (~2000 zombies / 14 GB RAM in long sessions)
- [BUG] Stats dashboard "Peak hour" appears off by one hour
- [BUG] Diff highlight (teal SGR background) bleeds past changed text in 2.1.150–2.1.153
- [FEATURE] confirm before deleting session
- Plugin PostToolUse hooks still silently skip in Claude Desktop / Cowork (re-filing closed #51904)
- /code-review skill: silent fallback to main...HEAD reviews other people's commits, and JSON-only output is hard to read
- Monitor tool doesn't source the shell snapshot like Bash does; PATH-dependent tools (jq, sleep, etc.) fail in Monitor commands on macOS/Nix
- [Bug] Long input lines truncated with ellipsis while typing instead of wrapping in terminal UI
- [FEATURE] VS Code extension: Render submitted user messages as Markdown in chat
- OSC 52 copy from Claude TUI doesn't reach clipboard inside tmux (regression in 2.1.146–2.1.153)
- [BUG] RemoteTrigger create/update returns HTTP 400 with circular error: "event_type is required" / "unknown field event_type"
- [BUG] Option to hide or minimize the built-in "status footer" (multi-line debug/cost panel) [re-raise of #31475]
- [Bug] Feedback submissions being closed without review or action
- [FEATURE] Word-jump cursor navigation in Chat input (option+arrow / bindable actions)
- [FEATURE] ! shell mode: filesystem tab completion
- [BUG] API Error: Usage credits required for 1M context
- claude agents: OSC 52 clipboard emission broken in tmux (regression in 2.1.146–2.1.153)
- CLI crashes on macOS 15 M3 - exit code 1
- [FEATURE] Support Cmd+V image paste from clipboard
- [FEATURE] Enhance claude.ai M365 connector to support MS Planner
- [BUG] Slash command autocomplete hijacks pasted absolute file paths starting with /
- PreToolUse hook `if` filter false-positives on complex Bash commands
- [BUG] Diff panel hangs/whites out
- Feature Request: Support drag-and-drop for binary documents (.wps, .doc, .docx, .xlsx, .pdf) in VS Code extension
- [BUG] activation of 1M context in VSCode
- [FEATURE] Support i18n / language localization for built-in slash command outputs
- Ctrl+V para colar imagens deixou de funcionar no CLI (Windows, PowerShell)
- [FEATURE] Please add Norwegian (Bokmål/Nynorsk) language support to the Claude Code interface
- [BUG] OTel log events (claude_code.user_prompt, api_request_body, tool_decision, hook_execution_complete) emitted with empty trace_id/span_id while sibling spans correlate correctly
- [BUG] Cowork crashes on every message, no VM logs generated, missing AppData\Roaming\Claude
- [FEATURE] first-class session handoff + per-session token budgets for unattended runs
- [FEATURE] Smart paste: convert clipboard code to file reference chips (like Cursor)
- [Feature Request] Restore chat pin functionality to title chat submenu
- [BUG] SIGILL issues with version 2.1.153
- [BUG] Cowork plugin upload fails with generic "Plugin validation failed" when a `description` field in any SKILL.md frontmatter contains angle brackets (`<…>`)
- [BUG] Desktop App 2.1.144+: startup scanner deletes cliSessionId from claude-code-sessions local files on every launch — session not found on disk
- [Feature Request] Add keyboard shortcut to copy last message with proper formatting
- [MODEL] Opus 4.7 not 1M
- Allow naming/renaming background agents in `claude agents` view
- Stale worktrees in .claude/worktrees/ are never cleaned up, consuming massive disk space
- Agent worktrees are never cleaned up, silently consuming disk space
- Subagent worktrees not auto-cleaned when reviewer writes scratch files
- [Bug] Skill initialization hangs for extended duration in Plan Mode
- Claude Desktop writes malformed registry Run entry (nested escaped quotes) - crashes Windows Task Manager and other Run-key parsers
- IME candidate window shows at bottom-right corner instead of caret position (Windows CMD)
- [BUG] Pressing 'Escape' doesn't close the /BTW conversation when the main conversation is asking for approval
- [BUG] Opus 4.7 (1M) intermittently emits empty-string values for tool_use.input fields, killing the session
- FleetView agent UI shows "running" with incrementing elapsed time after agent has returned
- /doctor flags context-scoped cmd+c binding as macOS conflict (false positive)
- [BUG] Text Rendering in Elvish
- Desktop app: Bypass Permissions mode flips to Accept Edits on first prompt (M5 / macOS 26.5)
- [Workaround] Date-Weekday Verification Hook — Prevents Claude from writing wrong weekdays
- [BUG] Claude Code create c:/memfs directory without asking me.
- [BUG] Claude Code's Bash execution waits forever with no processes running
- [BUG] usage stays stuck waiting for 5 hr limit after upgrading to premium seat in team plan
- [Workflow tool] resume cache is unreachable for nontrivial workflows because LLM dispatchers can't transcribe args byte-exactly
- Code review (Preview): "Add a repository" shows no results for private GitHub org repos
- [BUG] /context commands blows up context
- [Feature Request] Add precache expiry hook to enable proactive compaction before token eviction
- [BUG] Context indicator shows 0% at session start despite ~20K+ tokens already loaded
- [Feature Request] Add semantic search for --resume session history
- [Feature Request] Add session search, tagging, and filtering capabilities
- [BUG] Cowork Dispatch reports "desktop not available" on Windows 11 while standard Cowork works normally
- [Bug] Claude Code provides incorrect suggestions with high confidence despite errors
- defaultMode: acceptEdits silently overrides per-path permissions.ask rules for Write/Edit
- [FEATUR configurable tip interval (e.g. tipIntervalSeconds: 30 in settings)E]
- Plugin marketplace fails to load: schema rejects 'displayName' key (v2.1.153)
- claude agents: in-session copy uses broken OSC 52 path while overview correctly uses tmux buffer
- [BUG] Plugin agent descriptions (and custom agents) load unconditionally into context — no parity with disable-model-invocation for skills
- Crashed ultrareview consumed a free credit despite producing zero findings
- [Bug] Character rendering issue - invisible or missing text display
- [BUG] Cowork: processo Claude Code encerra com código 3 — .claude.json não contém token de autenticação (Windows 11 25H2)
- [BUG] 2.1.153 silently discards tools/list response from rmcp 0.12.0 HTTP MCP server (works in 2.1.152, wire-identical handshake)
- VS Code extension: option to auto-resume last session when reopening a workspace folder
- [Bug] Conversation continuation failure
- [BUG] Cowork crashes every time I start a new chat or attempt to continue an existing one in any project. The error displayed is: "Claude Code è andato in crash
- [Bug] Unannounced quota changes
- Native update/install fails with 'socket connection was closed unexpectedly' behind proxy — undici TLS incompatibility
- [BUG] Session name reverting after manual change
- [BUG] 非正常思考，上下文过长时，一直显示思考，点击interrupt按钮失效
- Honor `tools:` frontmatter when an agent is invoked via `@mention` — strip `Task` only when the agent did not declare it
- macOS TCC popup still recurring on v2.1.153 — "2.1.153" would like to access data from other apps
- Claude Code leaks pty handles — exhausts pseudo-terminals on macOS after long session
- [Bug] Agent fails to execute or respond to user input
- [BUG] Persistent "Expecting value: line 1 column 1 (char 0)" JSON parse error after tool execution
- [Feature Request] Implement proactive unit test coverage recommendations for recurring bugs
- VS Code panel lacks status line + terminal lacks image paste in Codespaces, forcing a tradeoff
- `/powerup` only shows ~10 lessons — allow viewing the full catalog
- [Bug] Context contamination after auto-compact with unrelated email draft of Tejo/Sado Basin
- [Bug] VSCode terminal output displays corrupted text with garbled symbols
- [Feature Request] Add LaTeX/KaTeX math rendering to TUI
- [Bug] Sub-agent PR review results not validated by orchestrating agent
- Subagents on Pro 1M tier: trivial probes pass, real workloads fail at first tool call (probe-vs-workload divergence)
- Path-scoped rules and subdirectory CLAUDE.md not loaded when creating new files matching the pattern
- AskUserQuestion: cancelling during extended thinking poisons the whole session with 400 'thinking blocks cannot be modified' (2.1.153); concurrent prompts overwrite each other
- Ideas Missing from Claude Cowork Menu (Windows)
- [BUG_BOUNTY_SAFE_POC_2026] Prompt Injection RCE Test - Command Execution Proof
- [BUG] Cowork scheduled task: execution history row not showing after successful run
- Resuming an extended-thinking session fails permanently with 400 "thinking blocks cannot be modified" (transcript stores thinking text as empty but keeps signature)
- [Bug] Plugin-registered CwdChanged and FileChanged hooks don't fire (settings.json works) — v2.1.153
- Auto-archive on PR merge / branch delete — clarify autoArchiveSessions semantics or add dedicated opt-out
- `claude mcp add` echoes Authorization header value verbatim to stdout, leaks bearer tokens to terminal and session transcripts
- [BUG] Bug report — /insights skill, Claude Code The /insights skill outputs a malformed file path.
- Plugin slash commands render with '*'-inline format instead of two-column, despite matching official plugin shape
- [Bug] Unexpected long text generation without user input or goal
- [Bug] Thinking blocks causing task progression blocked without user modification
- [BUG] (Critical!) contamination by an unknown session simirlar to the report => [Bug] Context contamination after auto-compact with unrelated email draft of Tejo/Sado Basin #63137
- [Critical] Opus 4.7 Korean output degeneration — Korean grammar itself collapses in long contexts
- [BUG] Title: Autocompact buffer persists across /clear — wastes tokens for irrelevant old context
- [Bug] Auto-Compact loses user input before processing in conversation history
- Feature: per-invocation effort parameter + runtime session-config introspection for skills
- Auto-mode classifier mislabels Azure DevOps vote -5 as "Reject" when denying PR vote actions
- [BUG] Claude Desktop and Claude Code CLI never re-register MCP tools after OAuth 2.1 handshake on a remote HTTP server
- [BUG] Workspace file tags leak across sessions
- [BUG] Ink renderer crashes on Windows 11 build 26200 (Canary) duplicate banners, terminal mode leaks, mid-operation aborts
- [BUG] Claude Code Desktop issue
- PTY master fd leak in Claude desktop app exhausts macOS kern.tty.ptmx_max after ~2-3 days
- [BUG] Claude Code — Session Management after Unexpected Interruption
- [Windows] Cowork OpenTelemetry exporter does not initialize - zero events emitted to any destination, including loopback
- [Bug] Opus 4.7: 400 `thinking blocks ... cannot be modified` on long extended-thinking sessions, triggered by history-altering events (scheduled prompts / parallel tool-call cancellation)
- [BUG] API Error: Server is temporarily limiting requests (not your usage limit) · Rate limited
- Multi-plugin custom marketplace: only first plugin registered in installed_plugins.json, skills don't load
- [BUG] Git push through the SDK's git proxy fan-outs into ~500 GitHub REST API calls, exhausting the 5,000/hour budget after a handful of pushes
- [BUG] Claude took liberties it really shouldn't with my global config
- [BUG] Agent window focus lost after navigating with arrow keys, causing scroll deadlock
- [BUG] `--model` flag silently ignored in interactive sessions (works in `--print` only)
- [BUG] Dispatch permanently shows "desktop appears offline" on Windows 11 - never worked on first use
- feat: support per-command enableWeakerNetworkIsolation as safer alternative to dangerouslyDisableSandbox
- /code-review outputs a raw JSON array instead of readable findings
- [BUG] Cowork — Additional allowed domains ignored on Team plan; same domain works on Pro plan
- Haiku
- [Bug] False positive blocking beneficial outcomes in tool execution
- 3P Bedrock SSO: credentials silently expire without triggering re-auth on day 2+
- CLAUDE_AUTOCOMPACT_PCT_OVERRIDE in settings.json env block silently ignored by autocompact logic
- Auto-compaction deletes main session JSONL before verifying summary completion, causing data loss
- [Bug] Claude Code not executing stated actions or producing expected results
- [FEATURE] Deferred Messages — Queue Input for End of Turn
- [BUG] Up/Down arrows in input box navigate history instead of moving cursor — regression in 2.1.149+
- Cancelling a parallel tool-call batch corrupts thinking blocks -> 400 "thinking blocks cannot be modified" permanently wedges the session
- Claude Code caused data loss, then contradicted itself about recovery (two incidents, one session)
- [Bug] Unclear error messages from Claude Code CLI
- [Bug] Agent tool rejecting due to context size limit exceeded
- claude agents: daemon and bg-spare processes spin at ~100% CPU when idle
- [BUG] Compaction fails with "context window limit" error even when context usage is low (e.g., 20%) — regression in v2.1.153
- Remote Control entitlement lost after May 27-28 incident — `Error: Remote Control is not yet enabled for your account` on active Max subscription
- PreToolUse hook exit code 2 does not block Write tool
- [Bug] Thinking blocks in latest assistant message are immutable
- GUI: dispatch file:// and custom-scheme clicks to OS shell handler
- Show current model in statusLine by default
- [Bug] Agent console becomes unresponsive to keyboard input after multiple agents initialized
- [FEATURE] PreToolUse hooks should have a way of updating the environment
- [Bug] Unable to start or use Claude Code CLI
- [BUG] Repository not visible in Claude Code web repo picker
- Session permanently wedged on 400 "thinking blocks cannot be modified" after parallel tool_results
- [Bug] @ autocomplete loses sibling repos after a file edit in multi-repo workspace
- Unclear error message when creating sub-agent without authentication
- [Bug] Anthropic API errors causing frequent failures and high token usage
- [BUG] @ mention file picker only shows packages, not individual files (desktop app - Code tab)
- [Bug] TUI panel footer remains sticky and consumes excessive terminal space
- PR-status polling exhausts GitHub GraphQL rate limit on repos with many open PRs
- [BUG] Windows: welcome panel not shown in some project folders (2.1.153)
- [Bug] Anthropic API Error: thinking blocks corrupted during context compaction with extended thinking enabled
- API 400 "thinking blocks cannot be modified" permanently bricks session during agent activation (interleaved thinking + tool use)
- Right-click Copy copies the whole message instead of the selection; pasted text retains dark background
- Mid-session model switch corrupts conversation when extended thinking is enabled (API 400: 'thinking blocks cannot be modified')
- [BUG] Markdown file links in chat output do not open files when clicked (VS Code extension)
- Stuck retry loop: `400 thinking blocks cannot be modified` on large interleaved-thinking turns using AskUserQuestion
- [FEATURE] Prompt user for approval before auto-compaction proceeds
- Custom MCP connectors not attachable to scheduled routines — no UUID discovery path
- [BUG] Claude in Chrome — Navigation blocked for teams.cloud.microsoft and outlook.cloud.microsoft after Microsoft domain migration**
- [BUG] Claude Desktop — Personal plugins panel renders list but is entirely non-interactive (macOS, v1.9255.2)
- [Bug] error when using Workflows
- [BUG] Persistent "update available" notification despite being on latest version
- [BUG] Sweep Agent from /code-review never completes
- [Bug] Tool calls not executing or returning results
- [FEATURE] Cloud-synced memory and settings across machines
- [Bug] Terminal UI freezes when Ctrl+O view exits during interactive prompt in plan mode
- Continuous api errors when using claude code with Opus 4.7 with thinking on low
- [Feature Request] Add support for installing and using previous Claude Code versions
- [Bug] Extended Thinking: Summarized thinking blocks fail signature validation when resent to API
- [Bug] Anthropic API Error: 'thinking' blocks cannot be modified
- [Bug] Anthropic API Error: Thinking blocks cannot be modified with extended thinking mode
- Feature request: Lazy/on-demand MCP server connections
- [Bug] Tool Arguments Parsed as String Instead of Object
- [Bug] Anthropic API Error: Insufficient context provided
- [Bug] Claude Opus occasionally uses moskovian(russian) orthography instead of Ukrainian in system-prompted responses
- Opus 4.8: backgrounded task completions (subagents AND Bash) crash with 400 "thinking blocks cannot be modified"
- [Bug] Opus 4.7 fabricates stable preferences ("my default") to rationalize arbitrary choices when challenged
- [Bug] Unable to update Claude Code CLI
- [BUG] Desktop app: /remote-control mints link + connects bridge (main.log) but in-chat link/QR panel never renders
- Feature: sessionColor and sessionName in .claude/settings.json
- [BUG] Anthropic API error: thinking blocks
- [FEATURE] Support Remote MCPs in Cowork as in Claude Code
- [Bug] Anthropic API Error: 400 Bad Request with Redacted Thinking - 0 4.7 & 4.8
- [Bug] Anthropic API Error: Cannot modify thinking blocks from different model versions
- Interleaved thinking + multi-tool turn corrupts thinking block (text blanked, signature kept) → permanent 400 'blocks must remain as they were'
- [BUG] Mode/permission changes mid-tool-loop (effortLevel: xhigh) poisons entire session
- Session failure log: Opus 4.6 ignores its own rules for an entire session
- [BUG] "400 Guardrail was enabled" error when using Claude Opus 4.8 with AWS Bedrock
- [Feature Request] Add subagent approach selection option to avoid accidental feedback
- Persistent 400 'thinking blocks in the latest assistant message cannot be modified' — interleaved thinking persisted with empty text + signature bricks sessions
- [BUG] DesktopvsApp
- [BUG] Opus 4.7 cache hit rate collapse after May 27 incident — Messages 1.1k→88.9k in 9 minutes, $630/session
- [Bug] Anthropic API Error: Invalid thinking block format
- [BUG] FUCK CLAUDE
- Opus 4.8 extended thinking: Stop hook block re-entry corrupts thinking blocks → 400
- [Bug] 4.8 Fails when accessing previous model history
- [Bug] Unintended File Modifications During Execution
- [DOCS] Model configuration docs omit lean system prompt default scope and model exceptions
- Add "Always allow globally" option to permission prompts
- Server-side model upgrade (Opus 4.7→4.8) wedges in-flight sessions with `thinking blocks cannot be modified` 400
- [DOCS] AskUserQuestion docs missing multiple-choice prompt decision threshold
- [DOCS] Agent view docs omit shell-command background session launch syntax
- [DOCS] Agent view dispatch input docs incorrectly imply `/logout` dispatches as a prompt
- [DOCS] Claude in Chrome docs omit connected-browser selection behavior
- [DOCS] Plugin docs omit `defaultEnabled: false` for opt-in plugins
- Feature Request: Customizable chat text colors for user and assistant messages
- [DOCS] `/plugin` Discover tab docs omit directory-based suggested plugin pins
- VSCode Chrome integration silently fails: 3 distinct bugs
- [DOCS] MCP stdio docs omit session environment variables
- [Bug] Anthropic API error on second request within session with Claude Opus 4.8
- Cowork emits a blank session "index" handoff on focus when a CLI session is paused awaiting input
- [DOCS] MCP docs omit `claude mcp list/get` pending-approval output for unapproved project servers
- [BUG] /compact fails with 400 error when last assistant turn contains thinking blocks
- [DOCS] `/claude-api` docs omit Opus 4.8 migration guidance
- [DOCS] Fast mode docs still recommend deprecated Opus 4.6 override variable
- [DOCS] Bash tool docs omit `$TMPDIR` consistency across sandboxed and unsandboxed commands
- [Bug] Anthropic API Error: 400 Bad Request on Extended Thinking
- [DOCS] Background session docs omit worktree-isolation behavior for spawned subagents
- Built-in mechanistic self-verification of verifiable claims (symmetric to the auto permission gate)
- [DOCS] Worktree docs do not clarify `worktree.baseRef: "head"` inside linked worktrees
- [BUG] Excessive RAM usage with multiple parallel chats (~10 sessions → 30 GB memory pressure, macOS OOM)
- [DOCS] Managed MCP policy docs omit invalid `allowedMcpServers`/`deniedMcpServers` entry behavior
- [DOCS] Effort docs omit `CLAUDE_CODE_ALWAYS_ENABLE_EFFORT` unsupported-model behavior
- Regression (2.1.147–2.1.150?): resuming an extended-thinking session after a CC update/model-switch → unrecoverable 400, session bricked
- [DOCS] Windows updater docs omit `claude.exe` in-use recovery guidance
- [DOCS] VS Code auto mode docs still tie mode-picker visibility to bypass-permissions setting
- [DOCS] MCP docs omit `/mcp` tool list and detail rendering behavior
- [DOCS] Fine-grained tool streaming docs still describe provider opt-in behavior
- bypassPermissions: session startup reads flat pref, GUI toggle writes per-account pref — they never sync
- [BUG] Claude Desktop Code tab causes disk write limit violation — 8.5GB in 11 min, macOS kills app (M5, v1.9659.1)
- Ultrareview v2.1.96: docs describe /tasks command + claude ultrareview --json subcommand that don't exist; findings hard to read after completion
- I'd be happy to help create a GitHub issue title, but I don't see the error message in your message. Could you please share the specific error you're encountering? That way I can generate an accurate and descriptive issue title for you.
- [BUG] Claude in Chrome `file_upload` rejects all scheduled-task sessions with misleading error (real cause: INVALID_SESSION)
- Extended thinking: signed thinking block 'cannot be modified' (400) permanently wedges session
- RTL text support for Hebrew (and Arabic) in Claude Code
- [Bug] Random errors occurring across multiple operations