github-starred/ollama
2
0
Fork 0
mirror of https://github.com/ollama/ollama.git synced 2026-07-15 20:54:54 -05:00
Code Issues 16.9k Packages Projects Releases 122 Wiki Activity

[GH-ISSUE #12012] Something went wrong! #70036

New Issue
Open
opened 2026-05-04 20:07:22 -05:00 by GiteaMirror · 1 comment
GiteaMirror commented 2026-05-04 20:07:22 -05:00
Owner
Copy Link

Originally created by @hartmut-p on GitHub (Aug 21, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/12012

Originally assigned to: @drifkin on GitHub.

What is the issue?

I asked the question in the chat, "How do I calculate Pi?" (LLM local gpt-oss), and the chat window displayed "Something went wrong!" (see attachment)

Image

Relevant log output

time=2025-08-21T17:34:13.810+02:00 level=INFO source=routes.go:1318 msg="server config" env="map[HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_CONTEXT_LENGTH:16384 OLLAMA_DEBUG:INFO OLLAMA_FLASH_ATTENTION:false 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:0 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:/Users/me/.ollama/models OLLAMA_MULTIUSER_CACHE:false OLLAMA_NEW_ENGINE:false OLLAMA_NEW_ESTIMATES:false OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NUM_PARALLEL:1 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:* app://* file://* tauri://* vscode-webview://* vscode-file://*] OLLAMA_SCHED_SPREAD:false http_proxy: https_proxy: no_proxy:]"
time=2025-08-21T17:34:13.812+02:00 level=INFO source=images.go:477 msg="total blobs: 15"
time=2025-08-21T17:34:13.812+02:00 level=INFO source=images.go:484 msg="total unused blobs removed: 0"
time=2025-08-21T17:34:13.813+02:00 level=INFO source=routes.go:1371 msg="Listening on 127.0.0.1:11434 (version 0.11.6)"
time=2025-08-21T17:34:13.893+02:00 level=INFO source=types.go:130 msg="inference compute" id=0 library=metal variant="" compute="" driver=0.0 name="" total="36.0 GiB" available="36.0 GiB"
[GIN] 2025/08/21 - 17:34:19 | 200 |     136.834µs |       127.0.0.1 | GET      "/"
[GIN] 2025/08/21 - 17:34:19 | 200 |     1.03825ms |       127.0.0.1 | GET      "/api/tags"
[GIN] 2025/08/21 - 17:34:19 | 200 |   45.083334ms |       127.0.0.1 | POST     "/api/show"
[GIN] 2025/08/21 - 17:34:19 | 200 |     464.958µs |       127.0.0.1 | GET      "/api/tags"
[GIN] 2025/08/21 - 17:34:28 | 200 |     678.875µs |       127.0.0.1 | GET      "/api/tags"
[GIN] 2025/08/21 - 17:34:44 | 200 |   63.849541ms |       127.0.0.1 | POST     "/api/show"
[GIN] 2025/08/21 - 17:34:44 | 200 |   43.286625ms |       127.0.0.1 | POST     "/api/show"
time=2025-08-21T17:34:44.962+02:00 level=INFO source=server.go:383 msg="starting runner" cmd="/Applications/Ollama.app/Contents/Resources/ollama runner --ollama-engine --model /Users/me/.ollama/models/blobs/sha256-b112e727c6f18875636c56a779790a590d705aec9e1c0eb5a97d51fc2a778583 --port 50451"
time=2025-08-21T17:34:44.964+02:00 level=INFO source=server.go:488 msg="system memory" total="48.0 GiB" free="21.8 GiB" free_swap="0 B"
time=2025-08-21T17:34:44.964+02:00 level=INFO source=memory.go:36 msg="new model will fit in available VRAM across minimum required GPUs, loading" model=/Users/me/.ollama/models/blobs/sha256-b112e727c6f18875636c56a779790a590d705aec9e1c0eb5a97d51fc2a778583 library=metal parallel=1 required="15.2 GiB" gpus=1
time=2025-08-21T17:34:44.964+02:00 level=INFO source=server.go:531 msg=offload library=metal layers.requested=-1 layers.model=25 layers.offload=25 layers.split=[25] memory.available="[36.0 GiB]" memory.gpu_overhead="0 B" memory.required.full="15.2 GiB" memory.required.partial="15.2 GiB" memory.required.kv="492.0 MiB" memory.required.allocations="[15.2 GiB]" memory.weights.total="11.7 GiB" memory.weights.repeating="10.7 GiB" memory.weights.nonrepeating="1.1 GiB" memory.graph.full="2.0 GiB" memory.graph.partial="2.0 GiB"
time=2025-08-21T17:34:44.970+02:00 level=INFO source=runner.go:1006 msg="starting ollama engine"
time=2025-08-21T17:34:44.970+02:00 level=INFO source=runner.go:1043 msg="Server listening on 127.0.0.1:50451"
time=2025-08-21T17:34:44.975+02:00 level=INFO source=runner.go:925 msg=load request="{Operation:commit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:false KvSize:16384 KvCacheType: NumThreads:10 GPULayers:25[ID:0 Layers:25(0..24)] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}"
time=2025-08-21T17:34:44.998+02:00 level=INFO source=ggml.go:130 msg="" architecture=gptoss file_type=MXFP4 name="" description="" num_tensors=315 num_key_values=30
time=2025-08-21T17:34:44.999+02:00 level=INFO source=ggml.go:104 msg=system Metal.0.EMBED_LIBRARY=1 Metal.0.BF16=1 CPU.0.NEON=1 CPU.0.ARM_FMA=1 CPU.0.FP16_VA=1 CPU.0.DOTPROD=1 CPU.0.LLAMAFILE=1 CPU.0.ACCELERATE=1 compiler=cgo(clang)
ggml_metal_init: allocating
ggml_metal_init: picking default device: Apple M4 Pro
ggml_metal_load_library: using embedded metal library
ggml_metal_init: GPU name:   Apple M4 Pro
ggml_metal_init: GPU family: MTLGPUFamilyApple9  (1009)
ggml_metal_init: GPU family: MTLGPUFamilyCommon3 (3003)
ggml_metal_init: GPU family: MTLGPUFamilyMetal3  (5001)
ggml_metal_init: simdgroup reduction   = true
ggml_metal_init: simdgroup matrix mul. = true
ggml_metal_init: has residency sets    = false
ggml_metal_init: has bfloat            = true
ggml_metal_init: use bfloat            = true
ggml_metal_init: hasUnifiedMemory      = true
ggml_metal_init: recommendedMaxWorkingSetSize  = 38654.71 MB
time=2025-08-21T17:34:45.137+02:00 level=INFO source=ggml.go:486 msg="offloading 24 repeating layers to GPU"
time=2025-08-21T17:34:45.138+02:00 level=INFO source=ggml.go:492 msg="offloading output layer to GPU"
time=2025-08-21T17:34:45.138+02:00 level=INFO source=ggml.go:497 msg="offloaded 25/25 layers to GPU"
time=2025-08-21T17:34:45.138+02:00 level=INFO source=backend.go:310 msg="model weights" device=Metal size="11.8 GiB"
time=2025-08-21T17:34:45.138+02:00 level=INFO source=backend.go:315 msg="model weights" device=CPU size="1.1 GiB"
time=2025-08-21T17:34:45.138+02:00 level=INFO source=backend.go:321 msg="kv cache" device=Metal size="492.0 MiB"
time=2025-08-21T17:34:45.138+02:00 level=INFO source=backend.go:332 msg="compute graph" device=Metal size="2.1 GiB"
time=2025-08-21T17:34:45.138+02:00 level=INFO source=backend.go:337 msg="compute graph" device=CPU size="5.6 MiB"
time=2025-08-21T17:34:45.138+02:00 level=INFO source=backend.go:342 msg="total memory" size="15.4 GiB"
time=2025-08-21T17:34:45.138+02:00 level=INFO source=sched.go:473 msg="loaded runners" count=1
time=2025-08-21T17:34:45.138+02:00 level=INFO source=server.go:1234 msg="waiting for llama runner to start responding"
time=2025-08-21T17:34:45.139+02:00 level=INFO source=server.go:1268 msg="waiting for server to become available" status="llm server loading model"
time=2025-08-21T17:34:49.658+02:00 level=INFO source=server.go:1272 msg="llama runner started in 4.70 seconds"
[GIN] 2025/08/21 - 17:35:46 | 200 |          1m2s |       127.0.0.1 | POST     "/api/chat"

OS

MacOS 15.6 (24G84)

GPU

Metal

CPU

Apple M4 Pro

Ollama version

0.11.6

Originally created by @hartmut-p on GitHub (Aug 21, 2025). Original GitHub issue: https://github.com/ollama/ollama/issues/12012 Originally assigned to: @drifkin on GitHub. ### What is the issue? I asked the question in the chat, "How do I calculate Pi?" (LLM local gpt-oss), and the chat window displayed "Something went wrong!" (see attachment) <img width="941" height="822" alt="Image" src="https://github.com/user-attachments/assets/61b23e58-091c-448a-81c5-394ef101a17a" /> ### Relevant log output ```shell time=2025-08-21T17:34:13.810+02:00 level=INFO source=routes.go:1318 msg="server config" env="map[HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_CONTEXT_LENGTH:16384 OLLAMA_DEBUG:INFO OLLAMA_FLASH_ATTENTION:false 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:0 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:/Users/me/.ollama/models OLLAMA_MULTIUSER_CACHE:false OLLAMA_NEW_ENGINE:false OLLAMA_NEW_ESTIMATES:false OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NUM_PARALLEL:1 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:* app://* file://* tauri://* vscode-webview://* vscode-file://*] OLLAMA_SCHED_SPREAD:false http_proxy: https_proxy: no_proxy:]" time=2025-08-21T17:34:13.812+02:00 level=INFO source=images.go:477 msg="total blobs: 15" time=2025-08-21T17:34:13.812+02:00 level=INFO source=images.go:484 msg="total unused blobs removed: 0" time=2025-08-21T17:34:13.813+02:00 level=INFO source=routes.go:1371 msg="Listening on 127.0.0.1:11434 (version 0.11.6)" time=2025-08-21T17:34:13.893+02:00 level=INFO source=types.go:130 msg="inference compute" id=0 library=metal variant="" compute="" driver=0.0 name="" total="36.0 GiB" available="36.0 GiB" [GIN] 2025/08/21 - 17:34:19 | 200 | 136.834µs | 127.0.0.1 | GET "/" [GIN] 2025/08/21 - 17:34:19 | 200 | 1.03825ms | 127.0.0.1 | GET "/api/tags" [GIN] 2025/08/21 - 17:34:19 | 200 | 45.083334ms | 127.0.0.1 | POST "/api/show" [GIN] 2025/08/21 - 17:34:19 | 200 | 464.958µs | 127.0.0.1 | GET "/api/tags" [GIN] 2025/08/21 - 17:34:28 | 200 | 678.875µs | 127.0.0.1 | GET "/api/tags" [GIN] 2025/08/21 - 17:34:44 | 200 | 63.849541ms | 127.0.0.1 | POST "/api/show" [GIN] 2025/08/21 - 17:34:44 | 200 | 43.286625ms | 127.0.0.1 | POST "/api/show" time=2025-08-21T17:34:44.962+02:00 level=INFO source=server.go:383 msg="starting runner" cmd="/Applications/Ollama.app/Contents/Resources/ollama runner --ollama-engine --model /Users/me/.ollama/models/blobs/sha256-b112e727c6f18875636c56a779790a590d705aec9e1c0eb5a97d51fc2a778583 --port 50451" time=2025-08-21T17:34:44.964+02:00 level=INFO source=server.go:488 msg="system memory" total="48.0 GiB" free="21.8 GiB" free_swap="0 B" time=2025-08-21T17:34:44.964+02:00 level=INFO source=memory.go:36 msg="new model will fit in available VRAM across minimum required GPUs, loading" model=/Users/me/.ollama/models/blobs/sha256-b112e727c6f18875636c56a779790a590d705aec9e1c0eb5a97d51fc2a778583 library=metal parallel=1 required="15.2 GiB" gpus=1 time=2025-08-21T17:34:44.964+02:00 level=INFO source=server.go:531 msg=offload library=metal layers.requested=-1 layers.model=25 layers.offload=25 layers.split=[25] memory.available="[36.0 GiB]" memory.gpu_overhead="0 B" memory.required.full="15.2 GiB" memory.required.partial="15.2 GiB" memory.required.kv="492.0 MiB" memory.required.allocations="[15.2 GiB]" memory.weights.total="11.7 GiB" memory.weights.repeating="10.7 GiB" memory.weights.nonrepeating="1.1 GiB" memory.graph.full="2.0 GiB" memory.graph.partial="2.0 GiB" time=2025-08-21T17:34:44.970+02:00 level=INFO source=runner.go:1006 msg="starting ollama engine" time=2025-08-21T17:34:44.970+02:00 level=INFO source=runner.go:1043 msg="Server listening on 127.0.0.1:50451" time=2025-08-21T17:34:44.975+02:00 level=INFO source=runner.go:925 msg=load request="{Operation:commit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:false KvSize:16384 KvCacheType: NumThreads:10 GPULayers:25[ID:0 Layers:25(0..24)] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}" time=2025-08-21T17:34:44.998+02:00 level=INFO source=ggml.go:130 msg="" architecture=gptoss file_type=MXFP4 name="" description="" num_tensors=315 num_key_values=30 time=2025-08-21T17:34:44.999+02:00 level=INFO source=ggml.go:104 msg=system Metal.0.EMBED_LIBRARY=1 Metal.0.BF16=1 CPU.0.NEON=1 CPU.0.ARM_FMA=1 CPU.0.FP16_VA=1 CPU.0.DOTPROD=1 CPU.0.LLAMAFILE=1 CPU.0.ACCELERATE=1 compiler=cgo(clang) ggml_metal_init: allocating ggml_metal_init: picking default device: Apple M4 Pro ggml_metal_load_library: using embedded metal library ggml_metal_init: GPU name: Apple M4 Pro ggml_metal_init: GPU family: MTLGPUFamilyApple9 (1009) ggml_metal_init: GPU family: MTLGPUFamilyCommon3 (3003) ggml_metal_init: GPU family: MTLGPUFamilyMetal3 (5001) ggml_metal_init: simdgroup reduction = true ggml_metal_init: simdgroup matrix mul. = true ggml_metal_init: has residency sets = false ggml_metal_init: has bfloat = true ggml_metal_init: use bfloat = true ggml_metal_init: hasUnifiedMemory = true ggml_metal_init: recommendedMaxWorkingSetSize = 38654.71 MB time=2025-08-21T17:34:45.137+02:00 level=INFO source=ggml.go:486 msg="offloading 24 repeating layers to GPU" time=2025-08-21T17:34:45.138+02:00 level=INFO source=ggml.go:492 msg="offloading output layer to GPU" time=2025-08-21T17:34:45.138+02:00 level=INFO source=ggml.go:497 msg="offloaded 25/25 layers to GPU" time=2025-08-21T17:34:45.138+02:00 level=INFO source=backend.go:310 msg="model weights" device=Metal size="11.8 GiB" time=2025-08-21T17:34:45.138+02:00 level=INFO source=backend.go:315 msg="model weights" device=CPU size="1.1 GiB" time=2025-08-21T17:34:45.138+02:00 level=INFO source=backend.go:321 msg="kv cache" device=Metal size="492.0 MiB" time=2025-08-21T17:34:45.138+02:00 level=INFO source=backend.go:332 msg="compute graph" device=Metal size="2.1 GiB" time=2025-08-21T17:34:45.138+02:00 level=INFO source=backend.go:337 msg="compute graph" device=CPU size="5.6 MiB" time=2025-08-21T17:34:45.138+02:00 level=INFO source=backend.go:342 msg="total memory" size="15.4 GiB" time=2025-08-21T17:34:45.138+02:00 level=INFO source=sched.go:473 msg="loaded runners" count=1 time=2025-08-21T17:34:45.138+02:00 level=INFO source=server.go:1234 msg="waiting for llama runner to start responding" time=2025-08-21T17:34:45.139+02:00 level=INFO source=server.go:1268 msg="waiting for server to become available" status="llm server loading model" time=2025-08-21T17:34:49.658+02:00 level=INFO source=server.go:1272 msg="llama runner started in 4.70 seconds" [GIN] 2025/08/21 - 17:35:46 | 200 | 1m2s | 127.0.0.1 | POST "/api/chat" ``` ### OS MacOS 15.6 (24G84) ### GPU Metal ### CPU Apple M4 Pro ### Ollama version 0.11.6
GiteaMirror added the bug label 2026-05-04 20:07:22 -05:00
GiteaMirror commented 2026-05-04 20:07:25 -05:00
Author
Owner
Copy Link

@rick-github commented on GitHub (Aug 21, 2025):

Server logs may help in debugging.

<!-- gh-comment-id:3211294742 --> @rick-github commented on GitHub (Aug 21, 2025): [Server logs](https://github.com/ollama/ollama/blob/main/docs/troubleshooting.md#how-to-troubleshoot-issues) may help in debugging.
Sign in to join this conversation.
No Branch/Tag Specified
Branches Tags
Labels
Clear labels
amd
api
app
bug
build
cli
cloud
compatibility
context-length
create
docker
documentation
embeddings
feature request
feedback wanted
good first issue
gpt-oss
gpu
harmony
help wanted
image
install
intel
js
launch
linux
macos
memory
mlx
model
needs more info
networking
nvidia
ollama.com
performance
pull-request
Mirrored from GitHub Pull Request
 python
question
registry
rendering
thinking
tools
top
vulkan
windows
wsl
No Label bug
Milestone
No items
No Milestone
Projects
Clear projects
No project
Assignees
Clear assignees
GiteaMirror ninjasurge
No Assignees
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: github-starred/ollama#70036
Delete Branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?