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ollama - 💡(How to fix) Fix No parallel requests for qwen35moe [2 comments, 3 participants]

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ollama/ollama#14638•Fetched 2026-04-08 00:33:27
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chigkimchigkim
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chigkimchigkimrick-githubrick-githubscmarvinscmarvin
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Error Message

level=WARN source=sched.go:450 msg="model architecture does not currently support parallel requests" architecture=qwen35moe time=2026-03-05T06:40:37.818-05:00 level=WARN source=sched.go:450 msg="model architecture does not currently support parallel requests" architecture=qwen35moe

Code Example

time=2026-03-05T06:40:37.002-05:00 level=DEBUG source=server.go:431 msg=subprocess OLLAMA_NO_CLOUD=0 OLLAMA_MODELS=/Users/cgk/.ollama/models OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 PATH="/Users/CGK/qt/6.10.1/macos/bin:/Users/cgk/.pyenv/shims:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/opt/pmk/env/global/bin:/Library/Apple/usr/bin:/Applications/VMware Fusion.app/Contents/Public" OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=2 OLLAMA_CONTEXT_LENGTH=65536 OLLAMA_HOST=0.0.0.0 DYLD_LIBRARY_PATH=/Applications/Ollama.app/Contents/Resources OLLAMA_LIBRARY_PATH=/Applications/Ollama.app/Contents/Resources
...
time=2026-03-05T06:40:37.818-05:00 level=WARN source=sched.go:450 msg="model architecture does not currently support parallel requests" architecture=qwen35moe
...
...
time=2026-03-05T06:40:37.880-05:00 level=INFO source=runner.go:1302 msg=load request="{Operation:fit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:Enabled KvSize:65536 KvCacheType: NumThreads:12 GPULayers:41[ID:0 Layers:41(0..40)] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}"
...
time=2026-03-05T06:41:27.656-05:00 level=DEBUG source=sched.go:729 msg="evaluating already loaded" model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0
time=2026-03-05T06:41:27.674-05:00 level=DEBUG source=server.go:1536 msg="completion request" images=0 prompt=67196 format=""
time=2026-03-05T06:41:27.692-05:00 level=DEBUG source=recurrent_checkpoints.go:318 msg="qwen3next: checkpoint miss" seq=0 slot=0 target=1 size=1 min=16 max=16 last=16
time=2026-03-05T06:41:27.692-05:00 level=DEBUG source=cache.go:151 msg="loading cache slot" id=0 cache=488 prompt=15659 used=0 remaining=15659
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_mul_mm_q8_0_f32', name = 'kernel_mul_mm_q8_0_f32_bci=0_bco=0'
ggml_metal_library_compile_pipeline: loaded kernel_mul_mm_q8_0_f32_bci=0_bco=0            0xbcf807600 | th_max = 1024 | th_width =   32
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_ssm_conv_f32_f32_batched_4', name = 'kernel_ssm_conv_f32_f32_batched_4_ssm_conv_bs=256'
ggml_metal_library_compile_pipeline: loaded kernel_ssm_conv_f32_f32_batched_4_ssm_conv_bs=256      0xbcf807900 | th_max = 1024 | th_width =   32
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_mul_mm_id_map0_ne20_8', name = 'kernel_mul_mm_id_map0_ne20_8_ne02=256'
ggml_metal_library_compile_pipeline: loaded kernel_mul_mm_id_map0_ne20_8_ne02=256         0xbcf807c00 | th_max = 1024 | th_width =   32
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_mul_mm_id_q8_0_f32', name = 'kernel_mul_mm_id_q8_0_f32_bci=0'
ggml_metal_library_compile_pipeline: loaded kernel_mul_mm_id_q8_0_f32_bci=0               0xbcf8b4000 | th_max = 1024 | th_width =   32
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_flash_attn_ext_blk', name = 'kernel_flash_attn_ext_blk_nqptg=8_ncpsg=64'
ggml_metal_library_compile_pipeline: loaded kernel_flash_attn_ext_blk_nqptg=8_ncpsg=64      0xbcf8b4300 | th_max = 1024 | th_width =   32
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_flash_attn_ext_f16_dk256_dv256', name = 'kernel_flash_attn_ext_f16_dk256_dv256_mask=1_sinks=0_bias=0_scap=0_kvpad=0_bcm=0_ns10=512_ns20=512_nsg=4'
ggml_metal_library_compile_pipeline: loaded kernel_flash_attn_ext_f16_dk256_dv256_mask=1_sinks=0_bias=0_scap=0_kvpad=0_bcm=0_ns10=512_ns20=512_nsg=4      0xbcf8b4600 | th_max = 1024 | th_width =   32
time=2026-03-05T06:41:28.737-05:00 level=DEBUG source=sched.go:729 msg="evaluating already loaded" model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0
time=2026-03-05T06:41:28.745-05:00 level=DEBUG source=server.go:1536 msg="completion request" images=0 prompt=37333 format=""
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_flash_attn_ext_f16_dk256_dv256', name = 'kernel_flash_attn_ext_f16_dk256_dv256_mask=1_sinks=0_bias=0_scap=0_kvpad=0_bcm=1_ns10=512_ns20=512_nsg=4'
ggml_metal_library_compile_pipeline: loaded kernel_flash_attn_ext_f16_dk256_dv256_mask=1_sinks=0_bias=0_scap=0_kvpad=0_bcm=1_ns10=512_ns20=512_nsg=4      0xbcf8b4900 | th_max = 1024 | th_width =   32
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_flash_attn_ext_vec_f16_dk256_dv256', name = 'kernel_flash_attn_ext_vec_f16_dk256_dv256_mask=1_sink=0_bias=0_scap=0_kvpad=0_ns10=512_ns20=512_nsg=4_nwg=32'
ggml_metal_library_compile_pipeline: loaded kernel_flash_attn_ext_vec_f16_dk256_dv256_mask=1_sink=0_bias=0_scap=0_kvpad=0_ns10=512_ns20=512_nsg=4_nwg=32      0xbcf8b4c00 | th_max = 1024 | th_width =   32
[GIN] 2026/03/05 - 06:43:08 | 200 |         1m40s |  192.168.99.177 | POST     "/v1/chat/completions"
time=2026-03-05T06:43:08.282-05:00 level=DEBUG source=sched.go:431 msg="context for request finished" runner.name=registry.ollama.ai/library/qwen3.5:35b-a3b-q8_0 runner.inference="[{ID:0 Library:Metal}]" runner.size="39.9 GiB" runner.vram="39.9 GiB" runner.parallel=1 runner.pid=55938 runner.model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0 runner.num_ctx=65536
time=2026-03-05T06:43:08.282-05:00 level=DEBUG source=sched.go:354 msg="after processing request finished event" runner.name=registry.ollama.ai/library/qwen3.5:35b-a3b-q8_0 runner.inference="[{ID:0 Library:Metal}]" runner.size="39.9 GiB" runner.vram="39.9 GiB" runner.parallel=1 runner.pid=55938 runner.model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0 runner.num_ctx=65536 refCount=1
time=2026-03-05T06:43:08.291-05:00 level=DEBUG source=recurrent_checkpoints.go:318 msg="qwen3next: checkpoint miss" seq=0 slot=0 target=113 size=9 min=511 max=16511 last=16511
time=2026-03-05T06:43:08.291-05:00 level=DEBUG source=cache.go:151 msg="loading cache slot" id=0 cache=18032 prompt=7442 used=0 remaining=7442
[GIN] 2026/03/05 - 06:45:01 | 200 |         3m32s |  192.168.99.177 | POST     "/v1/chat/completions"
time=2026-03-05T06:45:01.563-05:00 level=DEBUG source=sched.go:431 msg="context for request finished" runner.name=registry.ollama.ai/library/qwen3.5:35b-a3b-q8_0 runner.inference="[{ID:0 Library:Metal}]" runner.size="39.9 GiB" runner.vram="39.9 GiB" runner.parallel=1 runner.pid=55938 runner.model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0 runner.num_ctx=65536
time=2026-03-05T06:45:01.563-05:00 level=DEBUG source=sched.go:336 msg="runner with non-zero duration has gone idle, adding timer" runner.name=registry.ollama.ai/library/qwen3.5:35b-a3b-q8_0 runner.inference="[{ID:0 Library:Metal}]" runner.size="39.9 GiB" runner.vram="39.9 GiB" runner.parallel=1 runner.pid=55938 runner.model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0 runner.num_ctx=65536 duration=5m0s
time=2026-03-05T06:45:01.563-05:00 level=DEBUG source=sched.go:354 msg="after processing request finished event" runner.name=registry.ollama.ai/library/qwen3.5:35b-a3b-q8_0 runner.inference="[{ID:0 Library:Metal}]" runner.size="39.9 GiB" runner.vram="39.9 GiB" runner.parallel=1 runner.pid=55938 runner.model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0 runner.num_ctx=65536 refCount=0
[GIN] 2026/03/05 - 06:45:37 | 200 |      58.334µs |       127.0.0.1 | HEAD     "/"
[GIN] 2026/03/05 - 06:45:37 | 200 |     192.792µs |       127.0.0.1 | GET      "/api/ps"
RAW_BUFFERClick to expand / collapse

What is the issue?

I've been playing with multiagents workflow with Codex, and I noticed that the timing of processing requests were weird. I tried to send multiple requests to Ollama with python script manually, and it realized it doesn't work. I also found this in the log: level=WARN source=sched.go:450 msg="model architecture does not currently support parallel requests" architecture=qwen35moe Here's the full log: https://pastebin.com/Tcz7uPMt

Relevant log output

time=2026-03-05T06:40:37.002-05:00 level=DEBUG source=server.go:431 msg=subprocess OLLAMA_NO_CLOUD=0 OLLAMA_MODELS=/Users/cgk/.ollama/models OLLAMA_DEBUG=1 OLLAMA_FLASH_ATTENTION=1 PATH="/Users/CGK/qt/6.10.1/macos/bin:/Users/cgk/.pyenv/shims:/opt/homebrew/bin:/opt/homebrew/sbin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/opt/pmk/env/global/bin:/Library/Apple/usr/bin:/Applications/VMware Fusion.app/Contents/Public" OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_NEW_ESTIMATES=1 OLLAMA_NUM_PARALLEL=2 OLLAMA_CONTEXT_LENGTH=65536 OLLAMA_HOST=0.0.0.0 DYLD_LIBRARY_PATH=/Applications/Ollama.app/Contents/Resources OLLAMA_LIBRARY_PATH=/Applications/Ollama.app/Contents/Resources
...
time=2026-03-05T06:40:37.818-05:00 level=WARN source=sched.go:450 msg="model architecture does not currently support parallel requests" architecture=qwen35moe
...
...
time=2026-03-05T06:40:37.880-05:00 level=INFO source=runner.go:1302 msg=load request="{Operation:fit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:Enabled KvSize:65536 KvCacheType: NumThreads:12 GPULayers:41[ID:0 Layers:41(0..40)] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}"
...
time=2026-03-05T06:41:27.656-05:00 level=DEBUG source=sched.go:729 msg="evaluating already loaded" model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0
time=2026-03-05T06:41:27.674-05:00 level=DEBUG source=server.go:1536 msg="completion request" images=0 prompt=67196 format=""
time=2026-03-05T06:41:27.692-05:00 level=DEBUG source=recurrent_checkpoints.go:318 msg="qwen3next: checkpoint miss" seq=0 slot=0 target=1 size=1 min=16 max=16 last=16
time=2026-03-05T06:41:27.692-05:00 level=DEBUG source=cache.go:151 msg="loading cache slot" id=0 cache=488 prompt=15659 used=0 remaining=15659
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_mul_mm_q8_0_f32', name = 'kernel_mul_mm_q8_0_f32_bci=0_bco=0'
ggml_metal_library_compile_pipeline: loaded kernel_mul_mm_q8_0_f32_bci=0_bco=0            0xbcf807600 | th_max = 1024 | th_width =   32
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_ssm_conv_f32_f32_batched_4', name = 'kernel_ssm_conv_f32_f32_batched_4_ssm_conv_bs=256'
ggml_metal_library_compile_pipeline: loaded kernel_ssm_conv_f32_f32_batched_4_ssm_conv_bs=256      0xbcf807900 | th_max = 1024 | th_width =   32
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_mul_mm_id_map0_ne20_8', name = 'kernel_mul_mm_id_map0_ne20_8_ne02=256'
ggml_metal_library_compile_pipeline: loaded kernel_mul_mm_id_map0_ne20_8_ne02=256         0xbcf807c00 | th_max = 1024 | th_width =   32
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_mul_mm_id_q8_0_f32', name = 'kernel_mul_mm_id_q8_0_f32_bci=0'
ggml_metal_library_compile_pipeline: loaded kernel_mul_mm_id_q8_0_f32_bci=0               0xbcf8b4000 | th_max = 1024 | th_width =   32
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_flash_attn_ext_blk', name = 'kernel_flash_attn_ext_blk_nqptg=8_ncpsg=64'
ggml_metal_library_compile_pipeline: loaded kernel_flash_attn_ext_blk_nqptg=8_ncpsg=64      0xbcf8b4300 | th_max = 1024 | th_width =   32
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_flash_attn_ext_f16_dk256_dv256', name = 'kernel_flash_attn_ext_f16_dk256_dv256_mask=1_sinks=0_bias=0_scap=0_kvpad=0_bcm=0_ns10=512_ns20=512_nsg=4'
ggml_metal_library_compile_pipeline: loaded kernel_flash_attn_ext_f16_dk256_dv256_mask=1_sinks=0_bias=0_scap=0_kvpad=0_bcm=0_ns10=512_ns20=512_nsg=4      0xbcf8b4600 | th_max = 1024 | th_width =   32
time=2026-03-05T06:41:28.737-05:00 level=DEBUG source=sched.go:729 msg="evaluating already loaded" model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0
time=2026-03-05T06:41:28.745-05:00 level=DEBUG source=server.go:1536 msg="completion request" images=0 prompt=37333 format=""
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_flash_attn_ext_f16_dk256_dv256', name = 'kernel_flash_attn_ext_f16_dk256_dv256_mask=1_sinks=0_bias=0_scap=0_kvpad=0_bcm=1_ns10=512_ns20=512_nsg=4'
ggml_metal_library_compile_pipeline: loaded kernel_flash_attn_ext_f16_dk256_dv256_mask=1_sinks=0_bias=0_scap=0_kvpad=0_bcm=1_ns10=512_ns20=512_nsg=4      0xbcf8b4900 | th_max = 1024 | th_width =   32
ggml_metal_library_compile_pipeline: compiling pipeline: base = 'kernel_flash_attn_ext_vec_f16_dk256_dv256', name = 'kernel_flash_attn_ext_vec_f16_dk256_dv256_mask=1_sink=0_bias=0_scap=0_kvpad=0_ns10=512_ns20=512_nsg=4_nwg=32'
ggml_metal_library_compile_pipeline: loaded kernel_flash_attn_ext_vec_f16_dk256_dv256_mask=1_sink=0_bias=0_scap=0_kvpad=0_ns10=512_ns20=512_nsg=4_nwg=32      0xbcf8b4c00 | th_max = 1024 | th_width =   32
[GIN] 2026/03/05 - 06:43:08 | 200 |         1m40s |  192.168.99.177 | POST     "/v1/chat/completions"
time=2026-03-05T06:43:08.282-05:00 level=DEBUG source=sched.go:431 msg="context for request finished" runner.name=registry.ollama.ai/library/qwen3.5:35b-a3b-q8_0 runner.inference="[{ID:0 Library:Metal}]" runner.size="39.9 GiB" runner.vram="39.9 GiB" runner.parallel=1 runner.pid=55938 runner.model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0 runner.num_ctx=65536
time=2026-03-05T06:43:08.282-05:00 level=DEBUG source=sched.go:354 msg="after processing request finished event" runner.name=registry.ollama.ai/library/qwen3.5:35b-a3b-q8_0 runner.inference="[{ID:0 Library:Metal}]" runner.size="39.9 GiB" runner.vram="39.9 GiB" runner.parallel=1 runner.pid=55938 runner.model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0 runner.num_ctx=65536 refCount=1
time=2026-03-05T06:43:08.291-05:00 level=DEBUG source=recurrent_checkpoints.go:318 msg="qwen3next: checkpoint miss" seq=0 slot=0 target=113 size=9 min=511 max=16511 last=16511
time=2026-03-05T06:43:08.291-05:00 level=DEBUG source=cache.go:151 msg="loading cache slot" id=0 cache=18032 prompt=7442 used=0 remaining=7442
[GIN] 2026/03/05 - 06:45:01 | 200 |         3m32s |  192.168.99.177 | POST     "/v1/chat/completions"
time=2026-03-05T06:45:01.563-05:00 level=DEBUG source=sched.go:431 msg="context for request finished" runner.name=registry.ollama.ai/library/qwen3.5:35b-a3b-q8_0 runner.inference="[{ID:0 Library:Metal}]" runner.size="39.9 GiB" runner.vram="39.9 GiB" runner.parallel=1 runner.pid=55938 runner.model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0 runner.num_ctx=65536
time=2026-03-05T06:45:01.563-05:00 level=DEBUG source=sched.go:336 msg="runner with non-zero duration has gone idle, adding timer" runner.name=registry.ollama.ai/library/qwen3.5:35b-a3b-q8_0 runner.inference="[{ID:0 Library:Metal}]" runner.size="39.9 GiB" runner.vram="39.9 GiB" runner.parallel=1 runner.pid=55938 runner.model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0 runner.num_ctx=65536 duration=5m0s
time=2026-03-05T06:45:01.563-05:00 level=DEBUG source=sched.go:354 msg="after processing request finished event" runner.name=registry.ollama.ai/library/qwen3.5:35b-a3b-q8_0 runner.inference="[{ID:0 Library:Metal}]" runner.size="39.9 GiB" runner.vram="39.9 GiB" runner.parallel=1 runner.pid=55938 runner.model=/Users/cgk/.ollama/models/blobs/sha256-acd3c29c18f07df11b02809f1787803dbf0ba97abcd16c26e38b75168fce79e0 runner.num_ctx=65536 refCount=0
[GIN] 2026/03/05 - 06:45:37 | 200 |      58.334µs |       127.0.0.1 | HEAD     "/"
[GIN] 2026/03/05 - 06:45:37 | 200 |     192.792µs |       127.0.0.1 | GET      "/api/ps"

OS

macOS

GPU

Apple

CPU

Apple

Ollama version

0.17.6

extent analysis

Fix Plan

The issue seems to be related to the model architecture not supporting parallel requests. To fix this, we can try setting the OLLAMA_NUM_PARALLEL environment variable to 1, which will disable parallel requests.

Here are the steps to follow:

  • Set the OLLAMA_NUM_PARALLEL environment variable to 1:

export OLLAMA_NUM_PARALLEL=1

* Alternatively, you can also set this variable in your Python script before making requests to Ollama:
  ```python
import os
os.environ['OLLAMA_NUM_PARALLEL'] = '1'
  • If you are using a configuration file to set Ollama environment variables, update the OLLAMA_NUM_PARALLEL value to 1.

Verification

To verify that the fix worked, you can check the Ollama logs for the warning message "model architecture does not currently support parallel requests". If the warning message is no longer present, it means that the fix was successful.

Extra Tips

  • Make sure to update the OLLAMA_NUM_PARALLEL environment variable in all places where it is set, including configuration files and Python scripts.
  • If you are still experiencing issues, try setting the OLLAMA_DEBUG environment variable to 1 to enable debug logging, which can help you identify the root cause of the issue.
  • You can also try updating Ollama to the latest version to see if the issue is fixed in a newer version.

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#api#ssr#installation#tensor shape#autograd error#model compatibility#GPU setup#container setup#orchestration issue

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