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[GH-ISSUE #13939] Timeout Error when running ollama with claude code using qwen3-coder:30b #9121
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opened 2026-04-12 21:58:34 -05:00 by GiteaMirror
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Originally created by @omer1abay on GitHub (Jan 27, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/13939
What is the issue?
Even though my system requirements are good enough, I get a timeout when I run the qwen3-coder:30b model with Claude Code. When I checked the logs in the debug folder, I saw that the error ‘“message”:“model 'claude-haiku-4-5-20251001’ not found”' was logged multiple times (You can check the full version of the error log, if it's enough to check the error I can send the all log file). Is there a solution for this?
I set the context length to 64k,
and I have a computer with 64 GB of RAM,
Ollama version 0.15.2
Claude Code version 2.1.20
2026-01-27T21:27:35.524Z [DEBUG] Generated summary for session 096c8d6f-f9c6-4059-9631-92e43b6f33c5: "API Error: 404 {"type":"error","error":{"type":"not_found_error","message":"model 'claude-haiku-4-5-20251001' not found"},"request_id":"req_6942222b2659cd315d234f9c"}"
2026-01-27T21:27:35.532Z [DEBUG] Session index: added 1, updated 0, removed 0, summaries generated 1 (total: 6)
2026-01-27T21:27:35.536Z [ERROR] Error in non-streaming fallback: 404 {"type":"error","error":{"type":"not_found_error","message":"model 'claude-haiku-4-5-20251001' not found"},"request_id":"req_d41493224a01d0a0ae3fb954"}
2026-01-27T21:27:35.536Z [ERROR] Error: Error: 404 {"type":"error","error":{"type":"not_found_error","message":"model 'claude-haiku-4-5-20251001' not found"},"request_id":"req_d41493224a01d0a0ae3fb954"}
at t7.generate (file:///C:/Users/%C3%96mer%20Abay/AppData/Roaming/npm/node_modules/@anthropic-ai/claude-code/cli.js:152:37688)
at RR.makeStatusError (file:///C:/Users/%C3%96mer%20Abay/AppData/Roaming/npm/node_modules/@anthropic-ai/claude-code/cli.js:169:2195)
at RR.makeRequest (file:///C:/Users/%C3%96mer%20Abay/AppData/Roaming/npm/node_modules/@anthropic-ai/claude-code/cli.js:169:5420)
at process.processTicksAndRejections (node:internal/process/task_queues:95:5)
2026-01-27T21:27:35.545Z [ERROR] SyntaxError: SyntaxError: Unexpected token 'A', "API Error:"... is not valid JSON
at JSON.parse ()
at file:///C:/Users/%C3%96mer%20Abay/AppData/Roaming/npm/node_modules/@anthropic-ai/claude-code/cli.js:67:812
at q (file:///C:/Users/%C3%96mer%20Abay/AppData/Roaming/npm/node_modules/@anthropic-ai/claude-code/cli.js:8:6814)
at qZ7 (file:///C:/Users/%C3%96mer%20Abay/AppData/Roaming/npm/node_modules/@anthropic-ai/claude-code/cli.js:1609:40380)
at process.processTicksAndRejections (node:internal/process/task_queues:95:5)
Relevant log output
OS
Windows
GPU
Intel
CPU
Intel
Ollama version
0.15.2
@rick-github commented on GitHub (Jan 27, 2026):
Don't see a Ollama log here.
@KyleJFischer commented on GitHub (Jan 30, 2026):
I am getting the same error on 15.1:
The error seems to be related to truncating the original prompt:
My prompt was "test" and that seems to be where it stalled and then it reprompted it self.
nixy is the name of my machine
OS:
NixOS
GPU
AMD
CPU
AMD
Ollama Version
0.15.1
@KyleJFischer commented on GitHub (Jan 30, 2026):
Note this is using glm-4.7, I was also getting this issue with gwen3-coder and any model really
@omer1abay commented on GitHub (Jan 30, 2026):
Sorry for the late response, these are the logs;
[GIN] 2026/01/30 - 22:18:58 | 200 | 507.4µs | 127.0.0.1 | GET "/api/version"
[GIN] 2026/01/30 - 22:18:58 | 200 | 324.5411ms | 127.0.0.1 | GET "/api/tags"
[GIN] 2026/01/30 - 22:18:59 | 200 | 237.6ms | 127.0.0.1 | POST "/api/show"
[GIN] 2026/01/30 - 22:18:59 | 200 | 288.086ms | 127.0.0.1 | POST "/api/show"
[GIN] 2026/01/30 - 22:18:59 | 200 | 233.7476ms | 127.0.0.1 | POST "/api/show"
[GIN] 2026/01/30 - 22:18:59 | 200 | 112.5679ms | 127.0.0.1 | POST "/api/show"
[GIN] 2026/01/30 - 22:19:00 | 200 | 243.4562ms | 127.0.0.1 | POST "/api/show"
[GIN] 2026/01/30 - 22:19:00 | 200 | 326.5986ms | 127.0.0.1 | POST "/api/show"
[GIN] 2026/01/30 - 22:19:00 | 200 | 341.0319ms | 127.0.0.1 | POST "/api/show"
[GIN] 2026/01/30 - 22:19:01 | 200 | 251.4141ms | 127.0.0.1 | POST "/api/show"
[GIN] 2026/01/30 - 22:19:01 | 200 | 237.9697ms | 127.0.0.1 | POST "/api/show"
[GIN] 2026/01/30 - 22:19:01 | 200 | 313.0391ms | 127.0.0.1 | POST "/api/show"
[GIN] 2026/01/30 - 22:19:02 | 200 | 580.0144ms | 127.0.0.1 | POST "/api/show"
[GIN] 2026/01/30 - 22:19:08 | 200 | 0s | 127.0.0.1 | HEAD "/"
[GIN] 2026/01/30 - 22:19:13 | 404 | 0s | 127.0.0.1 | POST "/v1/messages/count_tokens?beta=true"
[GIN] 2026/01/30 - 22:19:13 | 404 | 11.9269ms | 127.0.0.1 | POST "/v1/messages?beta=true"
[GIN] 2026/01/30 - 22:19:18 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:19:19 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:19:21 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:19:22 | 404 | 8.61ms | 127.0.0.1 | POST "/v1/messages?beta=true"
[GIN] 2026/01/30 - 22:19:22 | 404 | 7.5979ms | 127.0.0.1 | POST "/v1/messages?beta=true"
time=2026-01-30T22:19:22.494+03:00 level=WARN source=routes.go:2094 msg="model does not support thinking, relaxing thinking to nil" model=qwen3-coder:30b
time=2026-01-30T22:19:22.596+03:00 level=INFO source=cpu_windows.go:148 msg=packages count=1
time=2026-01-30T22:19:22.596+03:00 level=INFO source=cpu_windows.go:164 msg="efficiency cores detected" maxEfficiencyClass=1
time=2026-01-30T22:19:22.596+03:00 level=INFO source=cpu_windows.go:195 msg="" package=0 cores=16 efficiency=10 threads=16
time=2026-01-30T22:19:22.731+03:00 level=INFO source=server.go:245 msg="enabling flash attention"
time=2026-01-30T22:19:22.739+03:00 level=INFO source=server.go:429 msg="starting runner" cmd="C:\Users\Ömer Abay\AppData\Local\Programs\Ollama\ollama.exe runner --ollama-engine --model C:\Users\Ömer Abay\.ollama\models\blobs\sha256-1194192cf2a187eb02722edcc3f77b11d21f537048ce04b67ccf8ba78863006a --port 53740"
time=2026-01-30T22:19:22.748+03:00 level=INFO source=sched.go:452 msg="system memory" total="62.9 GiB" free="28.1 GiB" free_swap="8.5 GiB"
time=2026-01-30T22:19:22.748+03:00 level=INFO source=server.go:755 msg="loading model" "model layers"=49 requested=-1
time=2026-01-30T22:19:22.834+03:00 level=INFO source=runner.go:1405 msg="starting ollama engine"
time=2026-01-30T22:19:23.014+03:00 level=INFO source=runner.go:1440 msg="Server listening on 127.0.0.1:53740"
time=2026-01-30T22:19:23.026+03:00 level=INFO source=runner.go:1278 msg=load request="{Operation:fit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:Enabled KvSize:65536 KvCacheType: NumThreads:6 GPULayers:[] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}"
time=2026-01-30T22:19:23.076+03:00 level=INFO source=ggml.go:136 msg="" architecture=qwen3moe file_type=Q4_K_M name="Qwen3 Coder 30B A3B Instruct" description="" num_tensors=579 num_key_values=35
load_backend: loaded CPU backend from C:\Users\Ömer Abay\AppData\Local\Programs\Ollama\lib\ollama\ggml-cpu-alderlake.dll
time=2026-01-30T22:19:23.440+03:00 level=INFO source=ggml.go:104 msg=system CPU.0.SSE3=1 CPU.0.SSSE3=1 CPU.0.AVX=1 CPU.0.AVX_VNNI=1 CPU.0.AVX2=1 CPU.0.F16C=1 CPU.0.FMA=1 CPU.0.BMI2=1 CPU.0.LLAMAFILE=1 CPU.1.LLAMAFILE=1 compiler=cgo(clang)
time=2026-01-30T22:19:23.676+03:00 level=INFO source=runner.go:1278 msg=load request="{Operation:alloc LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:Enabled KvSize:65536 KvCacheType: NumThreads:6 GPULayers:[] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}"
[GIN] 2026/01/30 - 22:19:25 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:19:25 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
time=2026-01-30T22:19:26.467+03:00 level=INFO source=runner.go:1278 msg=load request="{Operation:commit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:Enabled KvSize:65536 KvCacheType: NumThreads:6 GPULayers:[] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}"
time=2026-01-30T22:19:26.467+03:00 level=INFO source=ggml.go:482 msg="offloading 0 repeating layers to GPU"
time=2026-01-30T22:19:26.467+03:00 level=INFO source=ggml.go:486 msg="offloading output layer to CPU"
time=2026-01-30T22:19:26.467+03:00 level=INFO source=ggml.go:494 msg="offloaded 0/49 layers to GPU"
time=2026-01-30T22:19:26.467+03:00 level=INFO source=device.go:245 msg="model weights" device=CPU size="17.3 GiB"
time=2026-01-30T22:19:26.467+03:00 level=INFO source=device.go:256 msg="kv cache" device=CPU size="6.0 GiB"
time=2026-01-30T22:19:26.467+03:00 level=INFO source=device.go:267 msg="compute graph" device=CPU size="144.0 MiB"
time=2026-01-30T22:19:26.467+03:00 level=INFO source=device.go:272 msg="total memory" size="23.4 GiB"
time=2026-01-30T22:19:26.467+03:00 level=INFO source=sched.go:526 msg="loaded runners" count=1
time=2026-01-30T22:19:26.467+03:00 level=INFO source=server.go:1347 msg="waiting for llama runner to start responding"
time=2026-01-30T22:19:26.468+03:00 level=INFO source=server.go:1381 msg="waiting for server to become available" status="llm server loading model"
[GIN] 2026/01/30 - 22:19:33 | 404 | 545.8µs | 127.0.0.1 | POST "/api/event_logging/batch"
time=2026-01-30T22:19:36.636+03:00 level=INFO source=server.go:1385 msg="llama runner started in 13.89 seconds"
[GIN] 2026/01/30 - 22:19:46 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:20:04 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:20:29 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:20:59 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:21:29 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:21:59 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:22:29 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:22:59 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:23:29 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:23:59 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:24:26 | 500 | 5m4s | 127.0.0.1 | POST "/v1/messages?beta=true"
time=2026-01-30T22:24:27.447+03:00 level=WARN source=routes.go:2094 msg="model does not support thinking, relaxing thinking to nil" model=qwen3-coder:30b
[GIN] 2026/01/30 - 22:24:29 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:24:31 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:24:59 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:25:28 | 500 | 1m1s | 127.0.0.1 | POST "/v1/messages?beta=true"
time=2026-01-30T22:25:28.827+03:00 level=INFO source=runner.go:916 msg="aborting completion request due to client closing the connection"
[GIN] 2026/01/30 - 22:25:29 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:25:29 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
[GIN] 2026/01/30 - 22:25:29 | 404 | 0s | 127.0.0.1 | POST "/api/event_logging/batch"
@rick-github commented on GitHub (Jan 31, 2026):
@KyleJFischer Increase the size of the model context as described here, then re-test.
@omer1abay
The client has a 60 second timeout and disconnected before the model could respond. I'm guessing that the prompt is large and/or complicated and since you are running on CPU, it's just taking a long time to process. Increase the timeout, simplify the prompt, or get a GPU.
Note that the 404s in the log can be prevented by disabling Claude Code telemetry by setting these variables in the environment that you run CC in:
@stratmm commented on GitHub (Feb 6, 2026):
@rick-github When you say "Increase the timeout",; which timeout do you mean? Can't find any Claude code documentation on timeouts related to model responses?
@rick-github commented on GitHub (Feb 6, 2026):
Unfortunately I'm not a Claude Code user so I don't know what configuration options are available.
@stratmm commented on GitHub (Feb 9, 2026):
@KyleJFischer, I have found a solution that has worked for me. I was using Ollama to run my models as I incorrectly thought that Claude Code only supports Ollama.
I switched to running the exact same models on llama.cpp, and now timeouts are no longer an issue.
There are a number of key differences between my Ollama and llama.cpp setups:
I just dont know if the improvement is due to llama.cpp speed, differences in the models or differences in the llama.cpp api compared to ollama.
If it helps I have pased my llama.cpp docker container and docker-compose that I am running.
Hope this helps
@lvvorovi commented on GitHub (Apr 2, 2026):
same issue with timeout using ollama.
Did anyone find a way to fix it without switching from ollama?
time=2026-04-02T18:51:07.813+03:00 level=INFO source=server.go:1390 msg="llama runner started in 14.92 seconds"
time=2026-04-02T18:51:07.813+03:00 level=DEBUG source=sched.go:573 msg="finished setting up" runner.name=registry.ollama.ai/library/qwen3.5:0.8b runner.size="3.8 GiB" runner.vram="0 B" runner.parallel=1 runner.pid=396906 runner.model=/home/ardga/.ollama/models/blobs/sha256-afb707b6b8fac6e475acc42bc8380fc0b8d2e0e4190be5a969fbf62fcc897db5 runner.num_ctx=128000
time=2026-04-02T18:51:08.023+03:00 level=DEBUG source=server.go:1538 msg="completion request" images=0 prompt=850 format=""
time=2026-04-02T18:51:08.068+03:00 level=DEBUG source=server.go:1538 msg="completion request" images=0 prompt=96188 format=""
time=2026-04-02T18:51:08.101+03:00 level=DEBUG source=cache.go:151 msg="loading cache slot" id=0 cache=0 prompt=198 used=0 remaining=198
time=2026-04-02T18:55:48.050+03:00 level=INFO source=server.go:1570 msg="aborting completion request due to client closing the connection"
time=2026-04-02T18:55:48.050+03:00 level=DEBUG source=sched.go:404 msg="context for request finished" runner.name=registry.ollama.ai/library/qwen3.5:0.8b runner.size="3.8 GiB" runner.vram="0 B" runner.parallel=1 runner.pid=396906 runner.model=/home/ardga/.ollama/models/blobs/sha256-afb707b6b8fac6e475acc42bc8380fc0b8d2e0e4190be5a969fbf62fcc897db5 runner.num_ctx=128000
time=2026-04-02T18:55:48.050+03:00 level=DEBUG source=sched.go:327 msg="after processing request finished event" runner.name=registry.ollama.ai/library/qwen3.5:0.8b runner.size="3.8 GiB" runner.vram="0 B" runner.parallel=1 runner.pid=396906 runner.model=/home/ardga/.ollama/models/blobs/sha256-afb707b6b8fac6e475acc42bc8380fc0b8d2e0e4190be5a969fbf62fcc897db5 runner.num_ctx=128000 refCount=1
[GIN] 2026/04/02 - 18:55:48 | 500 | 4m55s | 127.0.0.1 | POST "/v1/messages?beta=true"
time=2026-04-02T18:55:49.169+03:00 level=DEBUG source=sched.go:672 msg="evaluating already loaded" model=/home/ardga/.ollama/models/blobs/sha256-afb707b6b8fac6e475acc42bc8380fc0b8d2e0e4190be5a969fbf62fcc897db5
time=2026-04-02T18:55:49.252+03:00 level=DEBUG source=server.go:1538 msg="completion request" images=0 prompt=96188 format=""
time=2026-04-02T18:57:29.347+03:00 level=INFO source=server.go:1570 msg="aborting completion request due to client closing the connection"
time=2026-04-02T18:57:29.347+03:00 level=DEBUG source=sched.go:404 msg="context for request finished" runner.name=registry.ollama.ai/library/qwen3.5:0.8b runner.size="3.8 GiB" runner.vram="0 B" runner.parallel=1 runner.pid=396906 runner.model=/home/ardga/.ollama/models/blobs/sha256-afb707b6b8fac6e475acc42bc8380fc0b8d2e0e4190be5a969fbf62fcc897db5 runner.num_ctx=128000
time=2026-04-02T18:57:29.347+03:00 level=DEBUG source=sched.go:327 msg="after processing request finished event" runner.name=registry.ollama.ai/library/qwen3.5:0.8b runner.size="3.8 GiB" runner.vram="0 B" runner.parallel=1 runner.pid=396906 runner.model=/home/ardga/.ollama/models/blobs/sha256-afb707b6b8fac6e475acc42bc8380fc0b8d2e0e4190be5a969fbf62fcc897db5 runner.num_ctx=128000 refCount=1
[GIN] 2026/04/02 - 18:57:29 | 500 | 1m40s | 127.0.0.1 | POST "/v1/messages?beta=true"
CLAUDE
export PATH="$HOME/.local/bin:$PATH"
export ANTHROPIC_AUTH_TOKEN=ollama
export ANTHROPIC_API_KEY=""
export ANTHROPIC_BASE_URL=http://localhost:11434
export API_TIMEOUT_MS=600000000
export CLAUDE_CODE_GLOB_TIMEOUT_SECONDS=60000000
export CLAUDE_ENABLE_STREAM_WATCHDOG=0
export DISABLE_TELEMETRY=1
export DISABLE_ERROR_REPORTING=1
export CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1
OLLAMA
export OLLAMA_LOAD_TIMEOUT=60000000
export OLLAMA_KEEP_ALIVE=60000000
export OLLAMA_CONTEXT_LENGTH=128000
export OLLAMA_DEBUG=1
ollama serve
ollama launch claude --model qwen3.5:0.8b
Claude Code v2.1.90
ollama version is 0.19.0
@omer1abay commented on GitHub (Apr 2, 2026):
It worked on my personal computer which is have a GPU, when I opened this issue I had office laptop (it's also strong but without GPU) so I got timeout. But in my personal computer, it's still slow but end of the day no timeout error, Do you have GPU on your PC?
@lvvorovi commented on GitHub (Apr 3, 2026):
it is obviously due to time it takes. My setup has no GPU, so it takes longer. I am in general OK with the time it takes, just need to find a way to configure ClaudeCode/Ollama to be OK with that too.