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[GH-ISSUE #10127] panic: failed to decode batch: could not find a kv cache slot (length: 6656) #53158

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opened 2026-04-29 02:08:53 -05:00 by GiteaMirror · 26 comments
GiteaMirror commented 2026-04-29 02:08:53 -05:00
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Originally created by @rossbg on GitHub (Apr 4, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/10127

What is the issue?

I am running gemma3:27b on a multi-gpu setup on Linux (Debian, 4 cards).

After the model gets some requests it panics and becomes not responding.

Following params are part of the model launch:

--ctx-size 98304
--batch-size 512
--n-gpu-layers 63
--threads 32
--flash-attn
--parallel 6

Right now I am on 0.6.4, but the same was happening in 0.6.3 and 0.6.2 as well.

Relevant log output

ollama[3482769]: panic: failed to decode batch: could not find a kv cache slot (length: 6656)
ollama[3482769]: goroutine 90 [running]:
ollama[3482769]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc0001e4b40, {0x55b8ae2cf380, 0xc0003ff630})
ollama[3482769]:         github.com/ollama/ollama/runner/ollamarunner/runner.go:366 +0x65
ollama[3482769]: created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1
ollama[3482769]:         github.com/ollama/ollama/runner/ollamarunner/runner.go:861 +0xb37

OS

Linux

GPU

Nvidia

CPU

No response

Ollama version

0.6.4

Originally created by @rossbg on GitHub (Apr 4, 2025). Original GitHub issue: https://github.com/ollama/ollama/issues/10127 ### What is the issue? I am running gemma3:27b on a multi-gpu setup on Linux (Debian, 4 cards). After the model gets some requests it panics and becomes not responding. Following params are part of the model launch: --ctx-size 98304 --batch-size 512 --n-gpu-layers 63 --threads 32 --flash-attn --parallel 6 Right now I am on 0.6.4, but the same was happening in 0.6.3 and 0.6.2 as well. ### Relevant log output ```shell ollama[3482769]: panic: failed to decode batch: could not find a kv cache slot (length: 6656) ollama[3482769]: goroutine 90 [running]: ollama[3482769]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc0001e4b40, {0x55b8ae2cf380, 0xc0003ff630}) ollama[3482769]: github.com/ollama/ollama/runner/ollamarunner/runner.go:366 +0x65 ollama[3482769]: created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1 ollama[3482769]: github.com/ollama/ollama/runner/ollamarunner/runner.go:861 +0xb37 ``` ### OS Linux ### GPU Nvidia ### CPU _No response_ ### Ollama version 0.6.4
GiteaMirror added the bug label 2026-04-29 02:08:53 -05:00
GiteaMirror commented 2026-04-29 02:08:57 -05:00
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@jessegross commented on GitHub (Apr 4, 2025):

Can you please post the full log from 0.6.4?

<!-- gh-comment-id:2779878580 --> @jessegross commented on GitHub (Apr 4, 2025): Can you please post the full log from 0.6.4?
GiteaMirror commented 2026-04-29 02:08:57 -05:00
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@rossbg commented on GitHub (Apr 5, 2025):

Here's a production log from the server from launching the service till the panic.

There are 3 models living together in total - llama3.1, nomic-embed-text and gemma3 (it's the unsloth version, but it was happening with the original gemma3 as well)

ollama_panic_logs.txt

<!-- gh-comment-id:2780359342 --> @rossbg commented on GitHub (Apr 5, 2025): Here's a production log from the server from launching the service till the panic. There are 3 models living together in total - llama3.1, nomic-embed-text and gemma3 (it's the unsloth version, but it was happening with the original gemma3 as well) [ollama_panic_logs.txt](https://github.com/user-attachments/files/19614220/ollama_panic_logs.txt)
GiteaMirror commented 2026-04-29 02:08:59 -05:00
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@rossbg commented on GitHub (Apr 7, 2025):

If I set parallel to be 5 I get the same error with different length number

Apr 07 06:45:40 ollama[4123733]: panic: failed to decode batch: could not find a kv cache slot (length: 5632)
Apr 07 06:45:40 ollama[4123733]: goroutine 99 [running]:
Apr 07 06:45:40 ollama[4123733]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc0006f0b40, {0x562e6e3df380, 0xc0006bf680})
Apr 07 06:45:40 ollama[4123733]: github.com/ollama/ollama/runner/ollamarunner/runner.go:366 +0x65
Apr 07 06:45:40 ollama[4123733]: created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1
Apr 07 06:45:40 ollama[4123733]: github.com/ollama/ollama/runner/ollamarunner/runner.go:861 +0xb37

Any idea what is causing this and how to workaround it?

<!-- gh-comment-id:2782275601 --> @rossbg commented on GitHub (Apr 7, 2025): If I set parallel to be 5 I get the same error with different length number Apr 07 06:45:40 ollama[4123733]: panic: failed to decode batch: could not find a kv cache slot (length: 5632) Apr 07 06:45:40 ollama[4123733]: goroutine 99 [running]: Apr 07 06:45:40 ollama[4123733]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc0006f0b40, {0x562e6e3df380, 0xc0006bf680}) Apr 07 06:45:40 ollama[4123733]: github.com/ollama/ollama/runner/ollamarunner/runner.go:366 +0x65 Apr 07 06:45:40 ollama[4123733]: created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1 Apr 07 06:45:40 ollama[4123733]: github.com/ollama/ollama/runner/ollamarunner/runner.go:861 +0xb37 Any idea what is causing this and how to workaround it?
GiteaMirror commented 2026-04-29 02:09:00 -05:00
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@jessegross commented on GitHub (Apr 8, 2025):

There was a bug in 0.6.3 that would trigger behavior similar to that but it was fixed in 0.6.4 with this commit:
5d097277ef

<!-- gh-comment-id:2787893483 --> @jessegross commented on GitHub (Apr 8, 2025): There was a bug in 0.6.3 that would trigger behavior similar to that but it was fixed in 0.6.4 with this commit: https://github.com/ollama/ollama/commit/5d097277ef8b08c86f354b54596976869998257d
GiteaMirror commented 2026-04-29 02:09:01 -05:00
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@rossbg commented on GitHub (Apr 9, 2025):

I've updated to 0.6.5 and it keeps happening.

Do you think that adjusting num_batch will potentially fix the issue? What are the side effects of making it lower - e.g 256 or 128?

<!-- gh-comment-id:2788928779 --> @rossbg commented on GitHub (Apr 9, 2025): I've updated to 0.6.5 and it keeps happening. Do you think that adjusting num_batch will potentially fix the issue? What are the side effects of making it lower - e.g 256 or 128?
GiteaMirror commented 2026-04-29 02:09:01 -05:00
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@leo83 commented on GitHub (Apr 21, 2025):

have the same issue with gemma3:27b
It happens when I send more then 2 parallel queries at once

<!-- gh-comment-id:2819563387 --> @leo83 commented on GitHub (Apr 21, 2025): have the same issue with gemma3:27b It happens when I send more then 2 parallel queries at once
GiteaMirror commented 2026-04-29 02:09:02 -05:00
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@scscgit commented on GitHub (Apr 29, 2025):

I used gemma3:1b via AI Chat in JetBrains AI Assistant. After a couple of messages, Ollama got stuck. Now when I make a query even using Open WebUI, it's just waiting indefinitely. There is no failure recovery and no status indicator.

ollama:0.6.6 (Docker)

panic: failed to decode batch: could not find a kv cache slot (length: 2560)
goroutine 32 [running]:
github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc0000350e0, {0x55cc33ae4df0, 0xc0002cac80})
github.com/ollama/ollama/runner/ollamarunner/runner.go:366 +0x65
created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1
github.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0xb37
<!-- gh-comment-id:2837147322 --> @scscgit commented on GitHub (Apr 29, 2025): I used `gemma3:1b` via AI Chat in JetBrains AI Assistant. After a couple of messages, Ollama got stuck. Now when I make a query even using Open WebUI, it's just waiting indefinitely. There is no failure recovery and no status indicator. ollama:0.6.6 (Docker) ``` panic: failed to decode batch: could not find a kv cache slot (length: 2560) goroutine 32 [running]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc0000350e0, {0x55cc33ae4df0, 0xc0002cac80}) github.com/ollama/ollama/runner/ollamarunner/runner.go:366 +0x65 created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1 github.com/ollama/ollama/runner/ollamarunner/runner.go:906 +0xb37 ```
GiteaMirror commented 2026-04-29 02:09:03 -05:00
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@omarmciver commented on GitHub (May 1, 2025):

Same issue here:

When running multiple concurrent requests against Ollama with the Gemma3 model, the server crashes with the error: panic: failed to decode batch: could not find a kv cache slot (length: 4352).

Right before crashing, Ollama attempts to defragment the KV cache:
time=2025-05-01T13:53:08.026Z level=DEBUG source=causal.go:366 msg="defragmenting kv cache"

The system is truncating multiple input prompts due to size constraints:
time=2025-05-01T13:53:07.248Z level=WARN source=runner.go:154 msg="truncating input prompt" limit=2048 prompt=2079 keep=4 new=2048

The system attempts to load several cache slots in sequence:
time=2025-05-01T13:53:07.248Z level=DEBUG source=cache.go:136 msg="loading cache slot" id=0 cache=0 prompt=2048 used=0 remaining=2048

I've tried a number of combinations of num_ctx and batch_size, but same result unless OLLAMA_NUM_PARALLEL is set to 1

v0.6.6

<!-- gh-comment-id:2845358163 --> @omarmciver commented on GitHub (May 1, 2025): Same issue here: When running multiple concurrent requests against Ollama with the Gemma3 model, the server crashes with the error: panic: failed to decode batch: could not find a kv cache slot (length: 4352). Right before crashing, Ollama attempts to defragment the KV cache: time=2025-05-01T13:53:08.026Z level=DEBUG source=causal.go:366 msg="defragmenting kv cache" The system is truncating multiple input prompts due to size constraints: time=2025-05-01T13:53:07.248Z level=WARN source=runner.go:154 msg="truncating input prompt" limit=2048 prompt=2079 keep=4 new=2048 The system attempts to load several cache slots in sequence: time=2025-05-01T13:53:07.248Z level=DEBUG source=cache.go:136 msg="loading cache slot" id=0 cache=0 prompt=2048 used=0 remaining=2048 I've tried a number of combinations of num_ctx and batch_size, but same result unless OLLAMA_NUM_PARALLEL is set to 1 v0.6.6
GiteaMirror commented 2026-04-29 02:09:06 -05:00
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@jessegross commented on GitHub (May 1, 2025):

I added some additional logging to try to track this down. Unfortunately, it isn't in 0.6.7 but if anybody runs into this either with current main or 0.6.8 then please post the log here.

<!-- gh-comment-id:2845989539 --> @jessegross commented on GitHub (May 1, 2025): I added some additional logging to try to track this down. Unfortunately, it isn't in 0.6.7 but if anybody runs into this either with current `main` or 0.6.8 then please post the log here.
GiteaMirror commented 2026-04-29 02:09:07 -05:00
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@chunyao commented on GitHub (May 6, 2025):

time=2025-05-06T10:04:47.857Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32
panic: failed to decode batch: could not find a kv cache slot (cache: 2560 batch: 512)

goroutine 43 [running]:
github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc0001565a0, {0x58ca1918fb20, 0xc0005ba820})
github.com/ollama/ollama/runner/ollamarunner/runner.go:352 +0x65
created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1
github.com/ollama/ollama/runner/ollamarunner/runner.go:891 +0xb37

0.6.8

<!-- gh-comment-id:2854002566 --> @chunyao commented on GitHub (May 6, 2025): time=2025-05-06T10:04:47.857Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32 panic: failed to decode batch: could not find a kv cache slot (cache: 2560 batch: 512) goroutine 43 [running]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc0001565a0, {0x58ca1918fb20, 0xc0005ba820}) github.com/ollama/ollama/runner/ollamarunner/runner.go:352 +0x65 created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1 github.com/ollama/ollama/runner/ollamarunner/runner.go:891 +0xb37 0.6.8
GiteaMirror commented 2026-04-29 02:09:07 -05:00
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@ashleyabraham commented on GitHub (May 13, 2025):

time=2025-05-13T16:10:26.538-05:00 level=DEBUG source=causal.go:379 msg="defragmenting kv cache"
panic: failed to decode batch: could not find a kv cache slot (cache: 4608 batch: 512)

goroutine 9 [running]:
github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0x14000000a20, {0x10205bde0, 0x140000d8460})
/Users/runner/work/ollama/ollama/runner/ollamarunner/runner.go:352 +0x70
created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1
/Users/runner/work/ollama/ollama/runner/ollamarunner/runner.go:891 +0x940
[GIN] 2025/05/13 - 16:10:26 | 500 | 23.792865667s | 127.0.0.1 | POST "/api/chat"
[GIN] 2025/05/13 - 16:10:26 | 500 | 23.792945s | 127.0.0.1 | POST "/api/chat"

0.6.8 as well with gemma3:12b-it-qat and OLLAMA_NUM_PARALLEL=3 on Apple M3 Max with 36GB memory

<!-- gh-comment-id:2877978819 --> @ashleyabraham commented on GitHub (May 13, 2025): time=2025-05-13T16:10:26.538-05:00 level=DEBUG source=causal.go:379 msg="defragmenting kv cache" panic: failed to decode batch: could not find a kv cache slot (cache: 4608 batch: 512) goroutine 9 [running]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0x14000000a20, {0x10205bde0, 0x140000d8460}) /Users/runner/work/ollama/ollama/runner/ollamarunner/runner.go:352 +0x70 created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1 /Users/runner/work/ollama/ollama/runner/ollamarunner/runner.go:891 +0x940 [GIN] 2025/05/13 - 16:10:26 | 500 | 23.792865667s | 127.0.0.1 | POST "/api/chat" [GIN] 2025/05/13 - 16:10:26 | 500 | 23.792945s | 127.0.0.1 | POST "/api/chat" 0.6.8 as well with gemma3:12b-it-qat and OLLAMA_NUM_PARALLEL=3 on Apple M3 Max with 36GB memory
GiteaMirror commented 2026-04-29 02:09:08 -05:00
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@ivanbaldo commented on GitHub (May 20, 2025):

And still happens with 0.7.0 with or without FA and multi user cache, tried several parameters, no luck :-(.

<!-- gh-comment-id:2895170227 --> @ivanbaldo commented on GitHub (May 20, 2025): And still happens with 0.7.0 with or without FA and multi user cache, tried several parameters, no luck :-(.
GiteaMirror commented 2026-04-29 02:09:09 -05:00
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@ashleyabraham commented on GitHub (May 21, 2025):

I was able to overcome the issue by passing the num_ctx as options options ={"num_ctx": 8192} while running the code, even though the num_ctx was set as env. variable it didn't take affect export OLLAMA_NUM_PARALLEL=4 OLLAMA_DEBUG=1 OLLAMA_CONTEXT_LENGTH=32768 && ollama serve

response = await AsyncClient().chat(model=model_name, messages=messages, options ={"num_ctx": 8192})

<!-- gh-comment-id:2898387794 --> @ashleyabraham commented on GitHub (May 21, 2025): I was able to overcome the issue by passing the num_ctx as options `options ={"num_ctx": 8192}` while running the code, even though the num_ctx was set as env. variable it didn't take affect `export OLLAMA_NUM_PARALLEL=4 OLLAMA_DEBUG=1 OLLAMA_CONTEXT_LENGTH=32768 && ollama serve` `response = await AsyncClient().chat(model=model_name, messages=messages, options ={"num_ctx": 8192})`
GiteaMirror commented 2026-04-29 02:09:10 -05:00
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@Pedrofran682 commented on GitHub (May 25, 2025):

Just to add, I was also facing this problem on my container.
When executing the same code on Colab with the latest version of Ollama, I didn't encounter any error.
After changing Gemma to Deepseek, everything worked as expected.

<!-- gh-comment-id:2908170068 --> @Pedrofran682 commented on GitHub (May 25, 2025): Just to add, I was also facing this problem on my container. When executing the same code on Colab with the latest version of Ollama, I didn't encounter any error. After changing Gemma to Deepseek, everything worked as expected.
GiteaMirror commented 2026-04-29 02:09:10 -05:00
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@kjenova commented on GitHub (May 26, 2025):

I ran into this problem on my two L4 GPU ollama v0.6.7 setup. Running the first ollama on the second GPU (first one was in use at the time) as CUDA_VISIBLE_DEVICES=1 OLLAMA_HOST=0.0.0.0:8082 ollama serve was fine, then I parallelized my script which calls the REST API and started the process CUDA_VISIBLE_DEVICES=0 OLLAMA_HOST=0.0.0.0:8081 ollama serve. Now, the second process (on the first GPU) fails with (the first process runs fine):

[GIN] 2025/05/26 - 18:51:18 | 200 | 34.595879287s |  | POST     "/api/generate"
[GIN] 2025/05/26 - 18:51:31 | 200 | 16.556787169s |  | POST     "/api/generate"
time=2025-05-26T18:51:32.027Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32
panic: failed to decode batch: could not find a kv cache slot (length: 2560)

goroutine 60 [running]:
github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc0002a5c20, {0x557fe316b980, 0xc0003af1d0})
        github.com/ollama/ollama/runner/ollamarunner/runner.go:360 +0x65
created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1
        github.com/ollama/ollama/runner/ollamarunner/runner.go:901 +0xb37
[GIN] 2025/05/26 - 18:51:33 | 500 |  1.862649608s |   | POST     "/api/generate"
time=2025-05-26T18:52:12.635Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32
time=2025-05-26T18:52:14.342Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32
time=2025-05-26T18:52:17.821Z level=WARN source=sched.go:649 msg="gpu VRAM usage didn't recover within timeout" seconds=5.184193331 model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68
time=2025-05-26T18:52:18.072Z level=WARN source=sched.go:649 msg="gpu VRAM usage didn't recover within timeout" seconds=5.434692542 model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68
time=2025-05-26T18:52:18.206Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32
time=2025-05-26T18:52:18.240Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32
time=2025-05-26T18:52:18.243Z level=INFO source=sched.go:723 msg="new model will fit in available VRAM in single GPU, loading" model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 gpu=GPU-2ca5b590-1de0-e2d0-bfe1-3e822d938aa8 parallel=2 available=23496622080 required="20.1 GiB"
time=2025-05-26T18:52:18.362Z level=WARN source=sched.go:649 msg="gpu VRAM usage didn't recover within timeout" seconds=5.724916239 model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68
time=2025-05-26T18:52:18.537Z level=INFO source=server.go:105 msg="system memory" total="94.0 GiB" free="85.0 GiB" free_swap="24.3 GiB"
time=2025-05-26T18:52:18.538Z level=INFO source=server.go:138 msg=offload library=cuda layers.requested=-1 layers.model=63 layers.offload=63 layers.split="" memory.available="[21.9 GiB]" memory.gpu_overhead="0 B" memory.required.full="20.1 GiB" memory.required.partial="20.1 GiB" memory.required.kv="1.6 GiB" memory.required.allocations="[20.1 GiB]" memory.weights.total="15.4 GiB" memory.weights.repeating="14.3 GiB" memory.weights.nonrepeating="1.1 GiB" memory.graph.full="565.0 MiB" memory.graph.partial="1.6 GiB" projector.weights="795.9 MiB" projector.graph="1.0 GiB"
time=2025-05-26T18:52:18.651Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32
time=2025-05-26T18:52:18.656Z level=WARN source=ggml.go:152 msg="key not found" key=tokenizer.ggml.add_eot_token default=false
time=2025-05-26T18:52:18.667Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.attention.layer_norm_rms_epsilon default=9.999999974752427e-07
time=2025-05-26T18:52:18.667Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.rope.local.freq_base default=10000
time=2025-05-26T18:52:18.667Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.rope.global.freq_base default=1e+06
time=2025-05-26T18:52:18.667Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.rope.freq_scale default=1
time=2025-05-26T18:52:18.667Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.mm_tokens_per_image default=256
time=2025-05-26T18:52:18.667Z level=INFO source=server.go:409 msg="starting llama server" cmd="/usr/local/bin/ollama runner --ollama-engine --model /home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 --ctx-size 8192 --batch-size 512 --n-gpu-layers 63 --threads 16 --parallel 2 --port 36117"
time=2025-05-26T18:52:18.668Z level=INFO source=sched.go:450 msg="loaded runners" count=1
time=2025-05-26T18:52:18.668Z level=INFO source=server.go:585 msg="waiting for llama runner to start responding"
time=2025-05-26T18:52:18.668Z level=INFO source=server.go:619 msg="waiting for server to become available" status="llm server error"
time=2025-05-26T18:52:18.680Z level=INFO source=runner.go:861 msg="starting ollama engine"
time=2025-05-26T18:52:18.681Z level=INFO source=runner.go:924 msg="Server listening on 127.0.0.1:36117"
time=2025-05-26T18:52:18.741Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32
time=2025-05-26T18:52:18.743Z level=WARN source=ggml.go:152 msg="key not found" key=general.name default=""
time=2025-05-26T18:52:18.743Z level=WARN source=ggml.go:152 msg="key not found" key=general.description default=""
time=2025-05-26T18:52:18.743Z level=INFO source=ggml.go:72 msg="" architecture=gemma3 file_type=Q4_K_M name="" description="" num_tensors=1247 num_key_values=37
load_backend: loaded CPU backend from /usr/local/lib/ollama/libggml-cpu-icelake.so
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 L4, compute capability 8.9, VMM: yes
load_backend: loaded CUDA backend from /usr/local/lib/ollama/cuda_v12/libggml-cuda.so
time=2025-05-26T18:52:18.867Z level=INFO source=ggml.go:103 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=500,600,610,700,750,800,860,870,890,900,1200 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(gcc)
time=2025-05-26T18:52:18.919Z level=INFO source=server.go:619 msg="waiting for server to become available" status="llm server loading model"
time=2025-05-26T18:52:18.985Z level=INFO source=ggml.go:298 msg="model weights" buffer=CUDA0 size="16.2 GiB"
time=2025-05-26T18:52:18.985Z level=INFO source=ggml.go:298 msg="model weights" buffer=CPU size="1.1 GiB"
time=2025-05-26T18:52:30.109Z level=WARN source=ggml.go:152 msg="key not found" key=tokenizer.ggml.add_eot_token default=false
time=2025-05-26T18:52:30.114Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.attention.layer_norm_rms_epsilon default=9.999999974752427e-07
time=2025-05-26T18:52:30.114Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.rope.local.freq_base default=10000
time=2025-05-26T18:52:30.114Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.rope.global.freq_base default=1e+06
time=2025-05-26T18:52:30.114Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.rope.freq_scale default=1
time=2025-05-26T18:52:30.114Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.mm_tokens_per_image default=256
time=2025-05-26T18:52:30.210Z level=INFO source=server.go:624 msg="llama runner started in 11.54 seconds"
panic: failed to decode batch: could not find a kv cache slot (length: 2560)

goroutine 51 [running]:
github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc000573d40, {0x55688459b980, 0xc0003af4a0})
        github.com/ollama/ollama/runner/ollamarunner/runner.go:360 +0x65
created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1
        github.com/ollama/ollama/runner/ollamarunner/runner.go:901 +0xb37
[GIN] 2025/05/26 - 18:52:35 | 500 | 22.472721811s || POST     "/api/generate"
[GIN] 2025/05/26 - 18:52:35 | 500 | 20.763145617s |  | POST     "/api/generate"
<!-- gh-comment-id:2910466749 --> @kjenova commented on GitHub (May 26, 2025): I ran into this problem on my two L4 GPU ollama v0.6.7 setup. Running the first ollama on the second GPU (first one was in use at the time) as `CUDA_VISIBLE_DEVICES=1 OLLAMA_HOST=0.0.0.0:8082 ollama serve` was fine, then I parallelized my script which calls the REST API and started the process `CUDA_VISIBLE_DEVICES=0 OLLAMA_HOST=0.0.0.0:8081 ollama serve`. Now, the second process (on the first GPU) fails with (the first process runs fine): ``` [GIN] 2025/05/26 - 18:51:18 | 200 | 34.595879287s | | POST "/api/generate" [GIN] 2025/05/26 - 18:51:31 | 200 | 16.556787169s | | POST "/api/generate" time=2025-05-26T18:51:32.027Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32 panic: failed to decode batch: could not find a kv cache slot (length: 2560) goroutine 60 [running]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc0002a5c20, {0x557fe316b980, 0xc0003af1d0}) github.com/ollama/ollama/runner/ollamarunner/runner.go:360 +0x65 created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1 github.com/ollama/ollama/runner/ollamarunner/runner.go:901 +0xb37 [GIN] 2025/05/26 - 18:51:33 | 500 | 1.862649608s | | POST "/api/generate" time=2025-05-26T18:52:12.635Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32 time=2025-05-26T18:52:14.342Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32 time=2025-05-26T18:52:17.821Z level=WARN source=sched.go:649 msg="gpu VRAM usage didn't recover within timeout" seconds=5.184193331 model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 time=2025-05-26T18:52:18.072Z level=WARN source=sched.go:649 msg="gpu VRAM usage didn't recover within timeout" seconds=5.434692542 model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 time=2025-05-26T18:52:18.206Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32 time=2025-05-26T18:52:18.240Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32 time=2025-05-26T18:52:18.243Z level=INFO source=sched.go:723 msg="new model will fit in available VRAM in single GPU, loading" model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 gpu=GPU-2ca5b590-1de0-e2d0-bfe1-3e822d938aa8 parallel=2 available=23496622080 required="20.1 GiB" time=2025-05-26T18:52:18.362Z level=WARN source=sched.go:649 msg="gpu VRAM usage didn't recover within timeout" seconds=5.724916239 model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 time=2025-05-26T18:52:18.537Z level=INFO source=server.go:105 msg="system memory" total="94.0 GiB" free="85.0 GiB" free_swap="24.3 GiB" time=2025-05-26T18:52:18.538Z level=INFO source=server.go:138 msg=offload library=cuda layers.requested=-1 layers.model=63 layers.offload=63 layers.split="" memory.available="[21.9 GiB]" memory.gpu_overhead="0 B" memory.required.full="20.1 GiB" memory.required.partial="20.1 GiB" memory.required.kv="1.6 GiB" memory.required.allocations="[20.1 GiB]" memory.weights.total="15.4 GiB" memory.weights.repeating="14.3 GiB" memory.weights.nonrepeating="1.1 GiB" memory.graph.full="565.0 MiB" memory.graph.partial="1.6 GiB" projector.weights="795.9 MiB" projector.graph="1.0 GiB" time=2025-05-26T18:52:18.651Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32 time=2025-05-26T18:52:18.656Z level=WARN source=ggml.go:152 msg="key not found" key=tokenizer.ggml.add_eot_token default=false time=2025-05-26T18:52:18.667Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.attention.layer_norm_rms_epsilon default=9.999999974752427e-07 time=2025-05-26T18:52:18.667Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.rope.local.freq_base default=10000 time=2025-05-26T18:52:18.667Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.rope.global.freq_base default=1e+06 time=2025-05-26T18:52:18.667Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.rope.freq_scale default=1 time=2025-05-26T18:52:18.667Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.mm_tokens_per_image default=256 time=2025-05-26T18:52:18.667Z level=INFO source=server.go:409 msg="starting llama server" cmd="/usr/local/bin/ollama runner --ollama-engine --model /home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 --ctx-size 8192 --batch-size 512 --n-gpu-layers 63 --threads 16 --parallel 2 --port 36117" time=2025-05-26T18:52:18.668Z level=INFO source=sched.go:450 msg="loaded runners" count=1 time=2025-05-26T18:52:18.668Z level=INFO source=server.go:585 msg="waiting for llama runner to start responding" time=2025-05-26T18:52:18.668Z level=INFO source=server.go:619 msg="waiting for server to become available" status="llm server error" time=2025-05-26T18:52:18.680Z level=INFO source=runner.go:861 msg="starting ollama engine" time=2025-05-26T18:52:18.681Z level=INFO source=runner.go:924 msg="Server listening on 127.0.0.1:36117" time=2025-05-26T18:52:18.741Z level=WARN source=ggml.go:152 msg="key not found" key=general.alignment default=32 time=2025-05-26T18:52:18.743Z level=WARN source=ggml.go:152 msg="key not found" key=general.name default="" time=2025-05-26T18:52:18.743Z level=WARN source=ggml.go:152 msg="key not found" key=general.description default="" time=2025-05-26T18:52:18.743Z level=INFO source=ggml.go:72 msg="" architecture=gemma3 file_type=Q4_K_M name="" description="" num_tensors=1247 num_key_values=37 load_backend: loaded CPU backend from /usr/local/lib/ollama/libggml-cpu-icelake.so 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 L4, compute capability 8.9, VMM: yes load_backend: loaded CUDA backend from /usr/local/lib/ollama/cuda_v12/libggml-cuda.so time=2025-05-26T18:52:18.867Z level=INFO source=ggml.go:103 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=500,600,610,700,750,800,860,870,890,900,1200 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(gcc) time=2025-05-26T18:52:18.919Z level=INFO source=server.go:619 msg="waiting for server to become available" status="llm server loading model" time=2025-05-26T18:52:18.985Z level=INFO source=ggml.go:298 msg="model weights" buffer=CUDA0 size="16.2 GiB" time=2025-05-26T18:52:18.985Z level=INFO source=ggml.go:298 msg="model weights" buffer=CPU size="1.1 GiB" time=2025-05-26T18:52:30.109Z level=WARN source=ggml.go:152 msg="key not found" key=tokenizer.ggml.add_eot_token default=false time=2025-05-26T18:52:30.114Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.attention.layer_norm_rms_epsilon default=9.999999974752427e-07 time=2025-05-26T18:52:30.114Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.rope.local.freq_base default=10000 time=2025-05-26T18:52:30.114Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.rope.global.freq_base default=1e+06 time=2025-05-26T18:52:30.114Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.rope.freq_scale default=1 time=2025-05-26T18:52:30.114Z level=WARN source=ggml.go:152 msg="key not found" key=gemma3.mm_tokens_per_image default=256 time=2025-05-26T18:52:30.210Z level=INFO source=server.go:624 msg="llama runner started in 11.54 seconds" panic: failed to decode batch: could not find a kv cache slot (length: 2560) goroutine 51 [running]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc000573d40, {0x55688459b980, 0xc0003af4a0}) github.com/ollama/ollama/runner/ollamarunner/runner.go:360 +0x65 created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1 github.com/ollama/ollama/runner/ollamarunner/runner.go:901 +0xb37 [GIN] 2025/05/26 - 18:52:35 | 500 | 22.472721811s || POST "/api/generate" [GIN] 2025/05/26 - 18:52:35 | 500 | 20.763145617s | | POST "/api/generate" ```
GiteaMirror commented 2026-04-29 02:09:11 -05:00
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@kjenova commented on GitHub (May 26, 2025):

I updated to v0.7.1, but the error still occurs. I started both processes simultaneously, then ran my processing script which uses both endpoints in parallel (however I did /api/pull and /api/generate to test each process first).

ollama on first GPU log (a few succesful requests, then error, then successful requests again):

CUDA_VISIBLE_DEVICES=0 OLLAMA_HOST=0.0.0.0:8081 ollama serve
...
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 L4, compute capability 8.9, VMM: yes
load_backend: loaded CUDA backend from /usr/local/lib/ollama/cuda_v12/libggml-cuda.so
time=2025-05-26T19:05:56.698Z 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=500,600,610,700,750,800,860,870,890,900,1200 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(gcc)
time=2025-05-26T19:05:56.761Z level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server loading model"
time=2025-05-26T19:05:56.817Z level=INFO source=ggml.go:351 msg="model weights" buffer=CPU size="1.1 GiB"
time=2025-05-26T19:05:56.817Z level=INFO source=ggml.go:351 msg="model weights" buffer=CUDA0 size="16.2 GiB"
time=2025-05-26T19:05:57.087Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB"
time=2025-05-26T19:05:57.087Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="0 B"
time=2025-05-26T19:05:57.195Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB"
time=2025-05-26T19:05:57.195Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="10.5 MiB"
time=2025-05-26T19:06:08.555Z level=INFO source=server.go:630 msg="llama runner started in 12.05 seconds"
[GIN] 2025/05/26 - 19:06:29 | 200 | 33.669176867s |  | POST     "/api/generate"
[GIN] 2025/05/26 - 19:08:54 | 200 | 49.035684283s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:09:24 | 200 | 39.828529936s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:09:52 | 200 | 15.592401895s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:10:18 | 200 | 26.309782014s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:10:35 | 200 | 23.114615278s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:11:09 | 200 | 34.548092817s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:11:20 | 200 | 20.463234512s |      | POST     "/api/generate"
panic: failed to decode batch: could not find a kv cache slot (cache: 2560 batch: 512)

goroutine 56 [running]:
github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc000152900, {0x55de6f50fa90, 0xc0004f4410})
        github.com/ollama/ollama/runner/ollamarunner/runner.go:364 +0x65
created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1
        github.com/ollama/ollama/runner/ollamarunner/runner.go:960 +0xa74
[GIN] 2025/05/26 - 19:11:22 | 500 |  1.991787298s |      | POST     "/api/generate"
time=2025-05-26T19:11:51.329Z level=WARN source=sched.go:687 msg="gpu VRAM usage didn't recover within timeout" seconds=5.186674022 runner.size="20.1 GiB" runner.vram="20.1 GiB" runner.parallel=2 runner.pid=602067 runner.model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68
time=2025-05-26T19:11:51.580Z level=WARN source=sched.go:687 msg="gpu VRAM usage didn't recover within timeout" seconds=5.437663016 runner.size="20.1 GiB" runner.vram="20.1 GiB" runner.parallel=2 runner.pid=602067 runner.model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68
time=2025-05-26T19:11:51.781Z level=INFO source=sched.go:788 msg="new model will fit in available VRAM in single GPU, loading" model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 gpu=GPU-2ca5b590-1de0-e2d0-bfe1-3e822d938aa8 parallel=2 available=23496622080 required="20.1 GiB"
time=2025-05-26T19:11:51.848Z level=WARN source=sched.go:687 msg="gpu VRAM usage didn't recover within timeout" seconds=5.706151471 runner.size="20.1 GiB" runner.vram="20.1 GiB" runner.parallel=2 runner.pid=602067 runner.model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68
time=2025-05-26T19:11:52.021Z level=INFO source=server.go:135 msg="system memory" total="94.0 GiB" free="85.2 GiB" free_swap="24.4 GiB"
time=2025-05-26T19:11:52.023Z level=INFO source=server.go:168 msg=offload library=cuda layers.requested=-1 layers.model=63 layers.offload=63 layers.split="" memory.available="[21.9 GiB]" memory.gpu_overhead="0 B" memory.required.full="20.1 GiB" memory.required.partial="20.1 GiB" memory.required.kv="1.6 GiB" memory.required.allocations="[20.1 GiB]" memory.weights.total="15.4 GiB" memory.weights.repeating="14.3 GiB" memory.weights.nonrepeating="1.1 GiB" memory.graph.full="565.0 MiB" memory.graph.partial="1.6 GiB" projector.weights="795.9 MiB" projector.graph="1.0 GiB"
time=2025-05-26T19:11:52.138Z level=INFO source=server.go:431 msg="starting llama server" cmd="/usr/local/bin/ollama runner --ollama-engine --model /home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 --ctx-size 8192 --batch-size 512 --n-gpu-layers 63 --threads 16 --parallel 2 --port 40183"
time=2025-05-26T19:11:52.139Z level=INFO source=sched.go:483 msg="loaded runners" count=1
time=2025-05-26T19:11:52.139Z level=INFO source=server.go:591 msg="waiting for llama runner to start responding"
time=2025-05-26T19:11:52.139Z level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server not responding"
time=2025-05-26T19:11:52.152Z level=INFO source=runner.go:925 msg="starting ollama engine"
time=2025-05-26T19:11:52.153Z level=INFO source=runner.go:983 msg="Server listening on 127.0.0.1:40183"
time=2025-05-26T19:11:52.217Z level=INFO source=ggml.go:92 msg="" architecture=gemma3 file_type=Q4_K_M name="" description="" num_tensors=1247 num_key_values=37
load_backend: loaded CPU backend from /usr/local/lib/ollama/libggml-cpu-icelake.so
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 L4, compute capability 8.9, VMM: yes
load_backend: loaded CUDA backend from /usr/local/lib/ollama/cuda_v12/libggml-cuda.so
time=2025-05-26T19:11:52.330Z 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=500,600,610,700,750,800,860,870,890,900,1200 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(gcc)
time=2025-05-26T19:11:52.391Z level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server loading model"
time=2025-05-26T19:11:52.452Z level=INFO source=ggml.go:351 msg="model weights" buffer=CUDA0 size="16.2 GiB"
time=2025-05-26T19:11:52.452Z level=INFO source=ggml.go:351 msg="model weights" buffer=CPU size="1.1 GiB"
time=2025-05-26T19:11:52.674Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB"
time=2025-05-26T19:11:52.674Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="0 B"
time=2025-05-26T19:11:52.782Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB"
time=2025-05-26T19:11:52.782Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="10.5 MiB"
time=2025-05-26T19:12:03.934Z level=INFO source=server.go:630 msg="llama runner started in 11.79 seconds"
[GIN] 2025/05/26 - 19:12:34 | 200 | 45.836086648s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:12:44 | 200 | 58.426447117s |      | POST     "/api/generate"

ollama on the second GPU log (same pattern):

CUDA_VISIBLE_DEVICES=1 OLLAMA_HOST=0.0.0.0:8082 ollama serve
...
  Device 0: NVIDIA L4, compute capability 8.9, VMM: yes
load_backend: loaded CUDA backend from /usr/local/lib/ollama/cuda_v12/libggml-cuda.so
time=2025-05-26T19:12:40.900Z 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=500,600,610,700,750,800,860,870,890,900,1200 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(gcc)
time=2025-05-26T19:12:40.930Z level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server loading model"
time=2025-05-26T19:12:41.013Z level=INFO source=ggml.go:351 msg="model weights" buffer=CUDA0 size="16.2 GiB"
time=2025-05-26T19:12:41.013Z level=INFO source=ggml.go:351 msg="model weights" buffer=CPU size="1.1 GiB"
time=2025-05-26T19:12:41.285Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB"
time=2025-05-26T19:12:41.285Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="0 B"
time=2025-05-26T19:12:41.392Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB"
time=2025-05-26T19:12:41.392Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="10.5 MiB"
time=2025-05-26T19:12:44.442Z level=INFO source=server.go:630 msg="llama runner started in 3.76 seconds"
[GIN] 2025/05/26 - 19:13:13 | 200 | 38.601465102s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:13:31 | 200 | 18.609721812s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:13:38 | 200 |  21.09824175s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:13:59 | 200 | 25.404173161s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:14:08 | 200 | 28.174164002s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:14:35 | 200 |  24.74172417s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:14:37 | 200 | 35.722017605s |      | POST     "/api/generate"
panic: failed to decode batch: could not find a kv cache slot (cache: 2560 batch: 512)

goroutine 60 [running]:
github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc000367e60, {0x564d5e0eba90, 0xc00056a410})
        github.com/ollama/ollama/runner/ollamarunner/runner.go:364 +0x65
created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1
        github.com/ollama/ollama/runner/ollamarunner/runner.go:960 +0xa74
[GIN] 2025/05/26 - 19:14:38 | 500 |  1.800807012s |      | POST     "/api/generate"
time=2025-05-26T19:14:44.100Z level=WARN source=sched.go:687 msg="gpu VRAM usage didn't recover within timeout" seconds=5.080147273 runner.size="20.1 GiB" runner.vram="20.1 GiB" runner.parallel=2 runner.pid=602339 runner.model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68
time=2025-05-26T19:14:44.350Z level=WARN source=sched.go:687 msg="gpu VRAM usage didn't recover within timeout" seconds=5.330016127 runner.size="20.1 GiB" runner.vram="20.1 GiB" runner.parallel=2 runner.pid=602339 runner.model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68
time=2025-05-26T19:14:44.506Z level=INFO source=sched.go:788 msg="new model will fit in available VRAM in single GPU, loading" model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 gpu=GPU-0e2b3367-1910-4435-0c8d-53879441f171 parallel=2 available=23496622080 required="20.1 GiB"
time=2025-05-26T19:14:44.631Z level=WARN source=sched.go:687 msg="gpu VRAM usage didn't recover within timeout" seconds=5.611646325 runner.size="20.1 GiB" runner.vram="20.1 GiB" runner.parallel=2 runner.pid=602339 runner.model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68
time=2025-05-26T19:14:44.799Z level=INFO source=server.go:135 msg="system memory" total="94.0 GiB" free="85.3 GiB" free_swap="24.4 GiB"
time=2025-05-26T19:14:44.801Z level=INFO source=server.go:168 msg=offload library=cuda layers.requested=-1 layers.model=63 layers.offload=63 layers.split="" memory.available="[21.9 GiB]" memory.gpu_overhead="0 B" memory.required.full="20.1 GiB" memory.required.partial="20.1 GiB" memory.required.kv="1.6 GiB" memory.required.allocations="[20.1 GiB]" memory.weights.total="15.4 GiB" memory.weights.repeating="14.3 GiB" memory.weights.nonrepeating="1.1 GiB" memory.graph.full="565.0 MiB" memory.graph.partial="1.6 GiB" projector.weights="795.9 MiB" projector.graph="1.0 GiB"
time=2025-05-26T19:14:44.893Z level=INFO source=server.go:431 msg="starting llama server" cmd="/usr/local/bin/ollama runner --ollama-engine --model /home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 --ctx-size 8192 --batch-size 512 --n-gpu-layers 63 --threads 16 --parallel 2 --port 39357"
time=2025-05-26T19:14:44.894Z level=INFO source=sched.go:483 msg="loaded runners" count=1
time=2025-05-26T19:14:44.894Z level=INFO source=server.go:591 msg="waiting for llama runner to start responding"
time=2025-05-26T19:14:44.894Z level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server not responding"
time=2025-05-26T19:14:44.905Z level=INFO source=runner.go:925 msg="starting ollama engine"
time=2025-05-26T19:14:44.905Z level=INFO source=runner.go:983 msg="Server listening on 127.0.0.1:39357"
time=2025-05-26T19:14:44.966Z level=INFO source=ggml.go:92 msg="" architecture=gemma3 file_type=Q4_K_M name="" description="" num_tensors=1247 num_key_values=37
load_backend: loaded CPU backend from /usr/local/lib/ollama/libggml-cpu-icelake.so
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 L4, compute capability 8.9, VMM: yes
load_backend: loaded CUDA backend from /usr/local/lib/ollama/cuda_v12/libggml-cuda.so
time=2025-05-26T19:14:45.086Z 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=500,600,610,700,750,800,860,870,890,900,1200 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(gcc)
time=2025-05-26T19:14:45.146Z level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server loading model"
time=2025-05-26T19:14:45.206Z level=INFO source=ggml.go:351 msg="model weights" buffer=CUDA0 size="16.2 GiB"
time=2025-05-26T19:14:45.206Z level=INFO source=ggml.go:351 msg="model weights" buffer=CPU size="1.1 GiB"
time=2025-05-26T19:14:45.464Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB"
time=2025-05-26T19:14:45.464Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="0 B"
time=2025-05-26T19:14:45.568Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB"
time=2025-05-26T19:14:45.568Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="10.5 MiB"
time=2025-05-26T19:14:48.659Z level=INFO source=server.go:630 msg="llama runner started in 3.77 seconds"
[GIN] 2025/05/26 - 19:15:14 | 200 | 35.300846724s |      | POST     "/api/generate"
[GIN] 2025/05/26 - 19:15:40 | 200 | 24.314904209s |      | POST     "/api/generate"
<!-- gh-comment-id:2910498958 --> @kjenova commented on GitHub (May 26, 2025): I updated to v0.7.1, but the error still occurs. I started both processes simultaneously, then ran my processing script which uses both endpoints in parallel (however I did /api/pull and /api/generate to test each process first). ollama on first GPU log (a few succesful requests, then error, then successful requests again): ``` CUDA_VISIBLE_DEVICES=0 OLLAMA_HOST=0.0.0.0:8081 ollama serve ... 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 L4, compute capability 8.9, VMM: yes load_backend: loaded CUDA backend from /usr/local/lib/ollama/cuda_v12/libggml-cuda.so time=2025-05-26T19:05:56.698Z 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=500,600,610,700,750,800,860,870,890,900,1200 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(gcc) time=2025-05-26T19:05:56.761Z level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server loading model" time=2025-05-26T19:05:56.817Z level=INFO source=ggml.go:351 msg="model weights" buffer=CPU size="1.1 GiB" time=2025-05-26T19:05:56.817Z level=INFO source=ggml.go:351 msg="model weights" buffer=CUDA0 size="16.2 GiB" time=2025-05-26T19:05:57.087Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB" time=2025-05-26T19:05:57.087Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="0 B" time=2025-05-26T19:05:57.195Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB" time=2025-05-26T19:05:57.195Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="10.5 MiB" time=2025-05-26T19:06:08.555Z level=INFO source=server.go:630 msg="llama runner started in 12.05 seconds" [GIN] 2025/05/26 - 19:06:29 | 200 | 33.669176867s | | POST "/api/generate" [GIN] 2025/05/26 - 19:08:54 | 200 | 49.035684283s | | POST "/api/generate" [GIN] 2025/05/26 - 19:09:24 | 200 | 39.828529936s | | POST "/api/generate" [GIN] 2025/05/26 - 19:09:52 | 200 | 15.592401895s | | POST "/api/generate" [GIN] 2025/05/26 - 19:10:18 | 200 | 26.309782014s | | POST "/api/generate" [GIN] 2025/05/26 - 19:10:35 | 200 | 23.114615278s | | POST "/api/generate" [GIN] 2025/05/26 - 19:11:09 | 200 | 34.548092817s | | POST "/api/generate" [GIN] 2025/05/26 - 19:11:20 | 200 | 20.463234512s | | POST "/api/generate" panic: failed to decode batch: could not find a kv cache slot (cache: 2560 batch: 512) goroutine 56 [running]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc000152900, {0x55de6f50fa90, 0xc0004f4410}) github.com/ollama/ollama/runner/ollamarunner/runner.go:364 +0x65 created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1 github.com/ollama/ollama/runner/ollamarunner/runner.go:960 +0xa74 [GIN] 2025/05/26 - 19:11:22 | 500 | 1.991787298s | | POST "/api/generate" time=2025-05-26T19:11:51.329Z level=WARN source=sched.go:687 msg="gpu VRAM usage didn't recover within timeout" seconds=5.186674022 runner.size="20.1 GiB" runner.vram="20.1 GiB" runner.parallel=2 runner.pid=602067 runner.model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 time=2025-05-26T19:11:51.580Z level=WARN source=sched.go:687 msg="gpu VRAM usage didn't recover within timeout" seconds=5.437663016 runner.size="20.1 GiB" runner.vram="20.1 GiB" runner.parallel=2 runner.pid=602067 runner.model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 time=2025-05-26T19:11:51.781Z level=INFO source=sched.go:788 msg="new model will fit in available VRAM in single GPU, loading" model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 gpu=GPU-2ca5b590-1de0-e2d0-bfe1-3e822d938aa8 parallel=2 available=23496622080 required="20.1 GiB" time=2025-05-26T19:11:51.848Z level=WARN source=sched.go:687 msg="gpu VRAM usage didn't recover within timeout" seconds=5.706151471 runner.size="20.1 GiB" runner.vram="20.1 GiB" runner.parallel=2 runner.pid=602067 runner.model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 time=2025-05-26T19:11:52.021Z level=INFO source=server.go:135 msg="system memory" total="94.0 GiB" free="85.2 GiB" free_swap="24.4 GiB" time=2025-05-26T19:11:52.023Z level=INFO source=server.go:168 msg=offload library=cuda layers.requested=-1 layers.model=63 layers.offload=63 layers.split="" memory.available="[21.9 GiB]" memory.gpu_overhead="0 B" memory.required.full="20.1 GiB" memory.required.partial="20.1 GiB" memory.required.kv="1.6 GiB" memory.required.allocations="[20.1 GiB]" memory.weights.total="15.4 GiB" memory.weights.repeating="14.3 GiB" memory.weights.nonrepeating="1.1 GiB" memory.graph.full="565.0 MiB" memory.graph.partial="1.6 GiB" projector.weights="795.9 MiB" projector.graph="1.0 GiB" time=2025-05-26T19:11:52.138Z level=INFO source=server.go:431 msg="starting llama server" cmd="/usr/local/bin/ollama runner --ollama-engine --model /home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 --ctx-size 8192 --batch-size 512 --n-gpu-layers 63 --threads 16 --parallel 2 --port 40183" time=2025-05-26T19:11:52.139Z level=INFO source=sched.go:483 msg="loaded runners" count=1 time=2025-05-26T19:11:52.139Z level=INFO source=server.go:591 msg="waiting for llama runner to start responding" time=2025-05-26T19:11:52.139Z level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server not responding" time=2025-05-26T19:11:52.152Z level=INFO source=runner.go:925 msg="starting ollama engine" time=2025-05-26T19:11:52.153Z level=INFO source=runner.go:983 msg="Server listening on 127.0.0.1:40183" time=2025-05-26T19:11:52.217Z level=INFO source=ggml.go:92 msg="" architecture=gemma3 file_type=Q4_K_M name="" description="" num_tensors=1247 num_key_values=37 load_backend: loaded CPU backend from /usr/local/lib/ollama/libggml-cpu-icelake.so 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 L4, compute capability 8.9, VMM: yes load_backend: loaded CUDA backend from /usr/local/lib/ollama/cuda_v12/libggml-cuda.so time=2025-05-26T19:11:52.330Z 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=500,600,610,700,750,800,860,870,890,900,1200 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(gcc) time=2025-05-26T19:11:52.391Z level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server loading model" time=2025-05-26T19:11:52.452Z level=INFO source=ggml.go:351 msg="model weights" buffer=CUDA0 size="16.2 GiB" time=2025-05-26T19:11:52.452Z level=INFO source=ggml.go:351 msg="model weights" buffer=CPU size="1.1 GiB" time=2025-05-26T19:11:52.674Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB" time=2025-05-26T19:11:52.674Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="0 B" time=2025-05-26T19:11:52.782Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB" time=2025-05-26T19:11:52.782Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="10.5 MiB" time=2025-05-26T19:12:03.934Z level=INFO source=server.go:630 msg="llama runner started in 11.79 seconds" [GIN] 2025/05/26 - 19:12:34 | 200 | 45.836086648s | | POST "/api/generate" [GIN] 2025/05/26 - 19:12:44 | 200 | 58.426447117s | | POST "/api/generate" ``` ollama on the second GPU log (same pattern): ``` CUDA_VISIBLE_DEVICES=1 OLLAMA_HOST=0.0.0.0:8082 ollama serve ... Device 0: NVIDIA L4, compute capability 8.9, VMM: yes load_backend: loaded CUDA backend from /usr/local/lib/ollama/cuda_v12/libggml-cuda.so time=2025-05-26T19:12:40.900Z 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=500,600,610,700,750,800,860,870,890,900,1200 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(gcc) time=2025-05-26T19:12:40.930Z level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server loading model" time=2025-05-26T19:12:41.013Z level=INFO source=ggml.go:351 msg="model weights" buffer=CUDA0 size="16.2 GiB" time=2025-05-26T19:12:41.013Z level=INFO source=ggml.go:351 msg="model weights" buffer=CPU size="1.1 GiB" time=2025-05-26T19:12:41.285Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB" time=2025-05-26T19:12:41.285Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="0 B" time=2025-05-26T19:12:41.392Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB" time=2025-05-26T19:12:41.392Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="10.5 MiB" time=2025-05-26T19:12:44.442Z level=INFO source=server.go:630 msg="llama runner started in 3.76 seconds" [GIN] 2025/05/26 - 19:13:13 | 200 | 38.601465102s | | POST "/api/generate" [GIN] 2025/05/26 - 19:13:31 | 200 | 18.609721812s | | POST "/api/generate" [GIN] 2025/05/26 - 19:13:38 | 200 | 21.09824175s | | POST "/api/generate" [GIN] 2025/05/26 - 19:13:59 | 200 | 25.404173161s | | POST "/api/generate" [GIN] 2025/05/26 - 19:14:08 | 200 | 28.174164002s | | POST "/api/generate" [GIN] 2025/05/26 - 19:14:35 | 200 | 24.74172417s | | POST "/api/generate" [GIN] 2025/05/26 - 19:14:37 | 200 | 35.722017605s | | POST "/api/generate" panic: failed to decode batch: could not find a kv cache slot (cache: 2560 batch: 512) goroutine 60 [running]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc000367e60, {0x564d5e0eba90, 0xc00056a410}) github.com/ollama/ollama/runner/ollamarunner/runner.go:364 +0x65 created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1 github.com/ollama/ollama/runner/ollamarunner/runner.go:960 +0xa74 [GIN] 2025/05/26 - 19:14:38 | 500 | 1.800807012s | | POST "/api/generate" time=2025-05-26T19:14:44.100Z level=WARN source=sched.go:687 msg="gpu VRAM usage didn't recover within timeout" seconds=5.080147273 runner.size="20.1 GiB" runner.vram="20.1 GiB" runner.parallel=2 runner.pid=602339 runner.model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 time=2025-05-26T19:14:44.350Z level=WARN source=sched.go:687 msg="gpu VRAM usage didn't recover within timeout" seconds=5.330016127 runner.size="20.1 GiB" runner.vram="20.1 GiB" runner.parallel=2 runner.pid=602339 runner.model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 time=2025-05-26T19:14:44.506Z level=INFO source=sched.go:788 msg="new model will fit in available VRAM in single GPU, loading" model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 gpu=GPU-0e2b3367-1910-4435-0c8d-53879441f171 parallel=2 available=23496622080 required="20.1 GiB" time=2025-05-26T19:14:44.631Z level=WARN source=sched.go:687 msg="gpu VRAM usage didn't recover within timeout" seconds=5.611646325 runner.size="20.1 GiB" runner.vram="20.1 GiB" runner.parallel=2 runner.pid=602339 runner.model=/home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 time=2025-05-26T19:14:44.799Z level=INFO source=server.go:135 msg="system memory" total="94.0 GiB" free="85.3 GiB" free_swap="24.4 GiB" time=2025-05-26T19:14:44.801Z level=INFO source=server.go:168 msg=offload library=cuda layers.requested=-1 layers.model=63 layers.offload=63 layers.split="" memory.available="[21.9 GiB]" memory.gpu_overhead="0 B" memory.required.full="20.1 GiB" memory.required.partial="20.1 GiB" memory.required.kv="1.6 GiB" memory.required.allocations="[20.1 GiB]" memory.weights.total="15.4 GiB" memory.weights.repeating="14.3 GiB" memory.weights.nonrepeating="1.1 GiB" memory.graph.full="565.0 MiB" memory.graph.partial="1.6 GiB" projector.weights="795.9 MiB" projector.graph="1.0 GiB" time=2025-05-26T19:14:44.893Z level=INFO source=server.go:431 msg="starting llama server" cmd="/usr/local/bin/ollama runner --ollama-engine --model /home/soft/.ollama/models/blobs/sha256-e796792eba26c4d3b04b0ac5adb01a453dd9ec2dfd83b6c59cbf6fe5f30b0f68 --ctx-size 8192 --batch-size 512 --n-gpu-layers 63 --threads 16 --parallel 2 --port 39357" time=2025-05-26T19:14:44.894Z level=INFO source=sched.go:483 msg="loaded runners" count=1 time=2025-05-26T19:14:44.894Z level=INFO source=server.go:591 msg="waiting for llama runner to start responding" time=2025-05-26T19:14:44.894Z level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server not responding" time=2025-05-26T19:14:44.905Z level=INFO source=runner.go:925 msg="starting ollama engine" time=2025-05-26T19:14:44.905Z level=INFO source=runner.go:983 msg="Server listening on 127.0.0.1:39357" time=2025-05-26T19:14:44.966Z level=INFO source=ggml.go:92 msg="" architecture=gemma3 file_type=Q4_K_M name="" description="" num_tensors=1247 num_key_values=37 load_backend: loaded CPU backend from /usr/local/lib/ollama/libggml-cpu-icelake.so 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 L4, compute capability 8.9, VMM: yes load_backend: loaded CUDA backend from /usr/local/lib/ollama/cuda_v12/libggml-cuda.so time=2025-05-26T19:14:45.086Z 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=500,600,610,700,750,800,860,870,890,900,1200 CUDA.0.USE_GRAPHS=1 CUDA.0.PEER_MAX_BATCH_SIZE=128 compiler=cgo(gcc) time=2025-05-26T19:14:45.146Z level=INFO source=server.go:625 msg="waiting for server to become available" status="llm server loading model" time=2025-05-26T19:14:45.206Z level=INFO source=ggml.go:351 msg="model weights" buffer=CUDA0 size="16.2 GiB" time=2025-05-26T19:14:45.206Z level=INFO source=ggml.go:351 msg="model weights" buffer=CPU size="1.1 GiB" time=2025-05-26T19:14:45.464Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB" time=2025-05-26T19:14:45.464Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="0 B" time=2025-05-26T19:14:45.568Z level=INFO source=ggml.go:638 msg="compute graph" backend=CUDA0 buffer_type=CUDA0 size="1.1 GiB" time=2025-05-26T19:14:45.568Z level=INFO source=ggml.go:638 msg="compute graph" backend=CPU buffer_type=CPU size="10.5 MiB" time=2025-05-26T19:14:48.659Z level=INFO source=server.go:630 msg="llama runner started in 3.77 seconds" [GIN] 2025/05/26 - 19:15:14 | 200 | 35.300846724s | | POST "/api/generate" [GIN] 2025/05/26 - 19:15:40 | 200 | 24.314904209s | | POST "/api/generate" ```
GiteaMirror commented 2026-04-29 02:09:11 -05:00
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@kjenova commented on GitHub (May 27, 2025):

Update: I started both processes with the additional option OLLAMA_NUM_PARALLEL=1 and it works now.

<!-- gh-comment-id:2913315200 --> @kjenova commented on GitHub (May 27, 2025): Update: I started both processes with the additional option OLLAMA_NUM_PARALLEL=1 and it works now.
GiteaMirror commented 2026-04-29 02:09:11 -05:00
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@beardsciences commented on GitHub (Jun 3, 2025):

Has there been any movement on this since last week? It seems like you simply can't expect gemma3:27b to perform with more than two requests occurring at once, whether the result is allowing it to panic like this or restricting it to the OLLAMA_NUM_PARALLEL=1.

<!-- gh-comment-id:2935289059 --> @beardsciences commented on GitHub (Jun 3, 2025): Has there been any movement on this since last week? It seems like you simply can't expect gemma3:27b to perform with more than two requests occurring at once, whether the result is allowing it to panic like this or restricting it to the OLLAMA_NUM_PARALLEL=1.
GiteaMirror commented 2026-04-29 02:09:12 -05:00
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@abcbarryn commented on GitHub (Aug 5, 2025):

So, is this still an issue with the latest Ollama or is it fixed or are people still testing?

<!-- gh-comment-id:3153041950 --> @abcbarryn commented on GitHub (Aug 5, 2025): So, is this still an issue with the latest Ollama or is it fixed or are people still testing?
GiteaMirror commented 2026-04-29 02:09:13 -05:00
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@jessegross commented on GitHub (Aug 5, 2025):

@abcbarryn (and others)

Coming back to this - the next release (v0.11.1) will have further logging to try to track this down. Hopefully this will be sufficient but if not we'll try to iterate faster. Note that as of v0.10.0 OLLAMA_NUM_PARALLEL defaults to 1, so it may no longer happen with default settings but we'd still like to fix it.

<!-- gh-comment-id:3155909312 --> @jessegross commented on GitHub (Aug 5, 2025): @abcbarryn (and others) Coming back to this - the next release (v0.11.1) will have further logging to try to track this down. Hopefully this will be sufficient but if not we'll try to iterate faster. Note that as of v0.10.0 OLLAMA_NUM_PARALLEL defaults to 1, so it may no longer happen with default settings but we'd still like to fix it.
GiteaMirror commented 2026-04-29 02:09:13 -05:00
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@ehsanahmadkhan525 commented on GitHub (Sep 5, 2025):

same issue
msg="unable to find a kv cache slot"
Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: panic: failed to decode batch: could not find a kv cache slot (cache: 12800 batch: 512)
Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: goroutine 15 [running]:
Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc00022d0e0, {0x644c2bba6b20, 0xc0005c5680})
Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: github.com/ollama/ollama/runner/ollamarunner/runner.go:375 +0x6a
Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1
Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: github.com/ollama/ollama/runner/ollamarunner/runner.go:1019 +0x4c9
Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: time=2025-09-05T10:13:06.775Z level=ERROR source=server.go:1444 msg="post predict" error="Post "http://127.0.0.1:41431/completion": EOF"
Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: [GIN] 2025/09/05 - 10:13:06 | 200 | 6.617840271s | 119.156.100.8 | POST "/api/chat"
Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: time=2025-09-05T10:13:06.917Z level=ERROR source=server.go:1444 msg="post predict" error="Post "http://127.0.0.1:41431/completion": EOF"
Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: [GIN] 2025/09/05 - 10:13:06 | 200 | 7.973790113s | 119.156.100.8 | POST "/api/chat"

<!-- gh-comment-id:3257843527 --> @ehsanahmadkhan525 commented on GitHub (Sep 5, 2025): same issue msg="unable to find a kv cache slot" Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: panic: failed to decode batch: could not find a kv cache slot (cache: 12800 batch: 512) Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: goroutine 15 [running]: Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc00022d0e0, {0x644c2bba6b20, 0xc0005c5680}) Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: github.com/ollama/ollama/runner/ollamarunner/runner.go:375 +0x6a Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1 Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: github.com/ollama/ollama/runner/ollamarunner/runner.go:1019 +0x4c9 Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: time=2025-09-05T10:13:06.775Z level=ERROR source=server.go:1444 msg="post predict" error="Post \"http://127.0.0.1:41431/completion\": EOF" Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: [GIN] 2025/09/05 - 10:13:06 | 200 | 6.617840271s | 119.156.100.8 | POST "/api/chat" Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: time=2025-09-05T10:13:06.917Z level=ERROR source=server.go:1444 msg="post predict" error="Post \"http://127.0.0.1:41431/completion\": EOF" Sep 05 10:13:06 soft-work-flourishes-fin-03 ollama[30872]: [GIN] 2025/09/05 - 10:13:06 | 200 | 7.973790113s | 119.156.100.8 | POST "/api/chat"
GiteaMirror commented 2026-04-29 02:09:13 -05:00
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@jessegross commented on GitHub (Sep 5, 2025):

@ehsanahmadkhan525 Can you please post the whole log?

<!-- gh-comment-id:3259152335 --> @jessegross commented on GitHub (Sep 5, 2025): @ehsanahmadkhan525 Can you please post the whole log?
GiteaMirror commented 2026-04-29 02:09:14 -05:00
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@utkucanaytac commented on GitHub (Oct 6, 2025):

any update on this issue ? Still getting this error msg="unable to find a kv cache slot" for gemma:3-12b-fp16 when OLLAMA_NUM_PARALLEL is set to a value different then 1.

<!-- gh-comment-id:3371912159 --> @utkucanaytac commented on GitHub (Oct 6, 2025): any update on this issue ? Still getting this error `msg="unable to find a kv cache slot"` for gemma:3-12b-fp16 when OLLAMA_NUM_PARALLEL is set to a value different then 1.
GiteaMirror commented 2026-04-29 02:09:14 -05:00
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@jessegross commented on GitHub (Oct 6, 2025):

@utkucanaytac Need somebody to post the full log from a recent version.

<!-- gh-comment-id:3373073288 --> @jessegross commented on GitHub (Oct 6, 2025): @utkucanaytac Need somebody to post the full log from a recent version.
GiteaMirror commented 2026-04-29 02:09:15 -05:00
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@utkucanaytac commented on GitHub (Oct 6, 2025):

@jessegross Please find the whole log below.

Notes:

Ollama version=0.12.0
OS=Windows/10.0.20348
GPU: Nvidia H100
LLM: Gemma 3:12b-it-fp16

Server Logs:

`time=2025-10-06T17:06:05.993+03:00 level=WARN source=causal.go:217 msg="unable to find a kv cache slot" cache="&{DType:2 swaWindowSize:1024 swaMemorySize:1024 chunkSize:0 opts:{Except:[]} maxBatch:512 config:0xc00c905820 curReserve:false curLayer:47 curLoc:0 curBatchSize:512 curMask:0xc000008240 curCellRange:{min:696 max:2048} curSequences:[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1] curPositions:[1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539] cells:[{pos:1130 sequences:[0]} {pos:1131 sequences:[0]} {pos:1132 sequences:[0]} {pos:1026 sequences:[0]} {pos:1133 sequences:[0]} {pos:1134 sequences:[0]} {pos:1135 sequences:[0]} {pos:1136 sequences:[0]} {pos:1137 sequences:[0]} {pos:1138 sequences:[0]} {pos:1025 sequences:[0]} {pos:1024 sequences:[0]} {pos:1023 sequences:[0]} {pos:1022 sequences:[0]} {pos:1021 sequences:[0]} {pos:1020 sequences:[0]} {pos:1019 sequences:[0]} {pos:1018 sequences:[0]} {pos:1017 sequences:[0]} {pos:1016 sequences:[0]} {pos:1015 sequences:[0]} {pos:1014 sequences:[0]} {pos:1013 sequences:[0]} {pos:1012 sequences:[0]} {pos:1011 sequences:[0]} {pos:1010 sequences:[0]} {pos:1009 sequences:[0]} {pos:1008 sequences:[0]} {pos:1007 sequences:[0]} {pos:1006 sequences:[0]} {pos:1005 sequences:[0]} {pos:1004 sequences:[0]} {pos:1003 sequences:[0]} {pos:1002 sequences:[0]} {pos:1001 sequences:[0]} {pos:1000 sequences:[0]} {pos:999 sequences:[0]} {pos:998 sequences:[0]} {pos:997 sequences:[0]} {pos:996 sequences:[0]} {pos:995 sequences:[0]} {pos:994 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30:0xc001d2d280 31:0xc001d2d300 32:0xc001d2d380 33:0xc001d2d400 34:0xc001d2d480 36:0xc001d2d580 37:0xc001d2d600 38:0xc001d2d680 39:0xc001d2d700 40:0xc001d2d780 42:0xc001d2d880 43:0xc001d2d900 44:0xc001d2d980 45:0xc001d2da00 46:0xc001d2da80] keys:map[0:0xc001c975f0 1:0xc001c97980 2:0xc001c97d10 3:0xc0000088e8 4:0xc000008c78 6:0xc000009650 7:0xc0000099e0 8:0xc000009d70 9:0xc000508600 10:0xc0005089a8 12:0xc0005090c8 13:0xc000509458 14:0xc000509878 15:0xc000509cc8 16:0xc000384180 18:0xc0003849f0 19:0xc000384e40 20:0xc000385278 21:0xc0003856b0 22:0xc000385b00 24:0xc0003a23f0 25:0xc0003a2828 26:0xc0003a2c78 27:0xc0003a3098 28:0xc0003a34e8 30:0xc0003a3d58 31:0xc0003a8228 32:0xc0003a8660 33:0xc0003a8a98 34:0xc0003a8ed0 36:0xc0003a9758 37:0xc0003a9b90 38:0xc0003de048 39:0xc0003de498 40:0xc0003de8d0 42:0xc0003df140 43:0xc0003df578 44:0xc0003df9c8 45:0xc0003dfe00 46:0xc0004202b8] values:map[0:0xc001c97608 1:0xc001c97998 2:0xc001c97d28 3:0xc000008900 4:0xc000008c90 6:0xc000009668 7:0xc0000099f8 8:0xc000009d88 9:0xc000508630 10:0xc0005089c0 12:0xc0005090e0 13:0xc000509470 14:0xc0005098a8 15:0xc000509ce0 16:0xc000384198 18:0xc000384a20 19:0xc000384e58 20:0xc000385290 21:0xc0003856c8 22:0xc000385b18 24:0xc0003a2408 25:0xc0003a2840 26:0xc0003a2c90 27:0xc0003a30c8 28:0xc0003a3500 30:0xc0003a3d88 31:0xc0003a8240 32:0xc0003a8678 33:0xc0003a8ac8 34:0xc0003a8ee8 36:0xc0003a9770 37:0xc0003a9ba8 38:0xc0003de060 39:0xc0003de4b0 40:0xc0003de8e8 42:0xc0003df170 43:0xc0003df5a8 44:0xc0003df9e0 45:0xc0003dfe18 46:0xc0004202e8]}"
panic: failed to build graph: could not find a kv cache slot (cache: 2560 batch: 512)

goroutine 10 [running]:
github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc0001730e0, {0x7ff6de4ab210, 0xc0005982d0})
C:/a/ollama/ollama/runner/ollamarunner/runner.go:421 +0x365
created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1
C:/a/ollama/ollama/runner/ollamarunner/runner.go:1266 +0x505`

<!-- gh-comment-id:3373348974 --> @utkucanaytac commented on GitHub (Oct 6, 2025): @jessegross Please find the whole log below. Notes: Ollama version=0.12.0 OS=Windows/10.0.20348 GPU: Nvidia H100 LLM: Gemma 3:12b-it-fp16 --- Server Logs: `time=2025-10-06T17:06:05.993+03:00 level=WARN source=causal.go:217 msg="unable to find a kv cache slot" cache="&{DType:2 swaWindowSize:1024 swaMemorySize:1024 chunkSize:0 opts:{Except:[]} maxBatch:512 config:0xc00c905820 curReserve:false curLayer:47 curLoc:0 curBatchSize:512 curMask:0xc000008240 curCellRange:{min:696 max:2048} curSequences:[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1] curPositions:[1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 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sequences:[]} {pos:1460 sequences:[]} {pos:1461 sequences:[]} {pos:1462 sequences:[]} {pos:1463 sequences:[]} {pos:1464 sequences:[]} {pos:1465 sequences:[]} {pos:1466 sequences:[]} {pos:1467 sequences:[]} {pos:1468 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]} {pos:0 sequences:[]}] cellRanges:map[0:{min:0 max:1540} 1:{min:696 max:2048}] shiftFn:0x7ff6dd50ec40 backend:0xc0000bd6b0 ctxs:map[0:0xc001d2c340 1:0xc001d2c3c0 2:0xc001d2c440 3:0xc001d2c4c0 4:0xc001d2c540 6:0xc001d2c680 7:0xc001d2c700 8:0xc001d2c780 9:0xc001d2c800 10:0xc001d2c880 12:0xc001d2c980 13:0xc001d2ca00 14:0xc001d2ca80 15:0xc001d2cb00 16:0xc001d2cb80 18:0xc001d2cc80 19:0xc001d2cd00 20:0xc001d2cd80 21:0xc001d2ce00 22:0xc001d2ce80 24:0xc001d2cf80 25:0xc001d2d000 26:0xc001d2d080 27:0xc001d2d100 28:0xc001d2d180 30:0xc001d2d280 31:0xc001d2d300 32:0xc001d2d380 33:0xc001d2d400 34:0xc001d2d480 36:0xc001d2d580 37:0xc001d2d600 38:0xc001d2d680 39:0xc001d2d700 40:0xc001d2d780 42:0xc001d2d880 43:0xc001d2d900 44:0xc001d2d980 45:0xc001d2da00 46:0xc001d2da80] keys:map[0:0xc001c975f0 1:0xc001c97980 2:0xc001c97d10 3:0xc0000088e8 4:0xc000008c78 6:0xc000009650 7:0xc0000099e0 8:0xc000009d70 9:0xc000508600 10:0xc0005089a8 12:0xc0005090c8 13:0xc000509458 14:0xc000509878 15:0xc000509cc8 16:0xc000384180 18:0xc0003849f0 19:0xc000384e40 20:0xc000385278 21:0xc0003856b0 22:0xc000385b00 24:0xc0003a23f0 25:0xc0003a2828 26:0xc0003a2c78 27:0xc0003a3098 28:0xc0003a34e8 30:0xc0003a3d58 31:0xc0003a8228 32:0xc0003a8660 33:0xc0003a8a98 34:0xc0003a8ed0 36:0xc0003a9758 37:0xc0003a9b90 38:0xc0003de048 39:0xc0003de498 40:0xc0003de8d0 42:0xc0003df140 43:0xc0003df578 44:0xc0003df9c8 45:0xc0003dfe00 46:0xc0004202b8] values:map[0:0xc001c97608 1:0xc001c97998 2:0xc001c97d28 3:0xc000008900 4:0xc000008c90 6:0xc000009668 7:0xc0000099f8 8:0xc000009d88 9:0xc000508630 10:0xc0005089c0 12:0xc0005090e0 13:0xc000509470 14:0xc0005098a8 15:0xc000509ce0 16:0xc000384198 18:0xc000384a20 19:0xc000384e58 20:0xc000385290 21:0xc0003856c8 22:0xc000385b18 24:0xc0003a2408 25:0xc0003a2840 26:0xc0003a2c90 27:0xc0003a30c8 28:0xc0003a3500 30:0xc0003a3d88 31:0xc0003a8240 32:0xc0003a8678 33:0xc0003a8ac8 34:0xc0003a8ee8 36:0xc0003a9770 37:0xc0003a9ba8 38:0xc0003de060 39:0xc0003de4b0 40:0xc0003de8e8 42:0xc0003df170 43:0xc0003df5a8 44:0xc0003df9e0 45:0xc0003dfe18 46:0xc0004202e8]}" panic: failed to build graph: could not find a kv cache slot (cache: 2560 batch: 512) goroutine 10 [running]: github.com/ollama/ollama/runner/ollamarunner.(*Server).run(0xc0001730e0, {0x7ff6de4ab210, 0xc0005982d0}) C:/a/ollama/ollama/runner/ollamarunner/runner.go:421 +0x365 created by github.com/ollama/ollama/runner/ollamarunner.Execute in goroutine 1 C:/a/ollama/ollama/runner/ollamarunner/runner.go:1266 +0x505`
GiteaMirror commented 2026-04-29 02:09:15 -05:00
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@jessegross commented on GitHub (Oct 8, 2025):

Thanks for the logs, I can see the issue now.

<!-- gh-comment-id:3383435390 --> @jessegross commented on GitHub (Oct 8, 2025): Thanks for the logs, I can see the issue now.
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