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[GH-ISSUE #5155] Error when using deepseek-coder-v2 #49760

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opened 2026-04-28 12:52:47 -05:00 by GiteaMirror · 4 comments
GiteaMirror commented 2026-04-28 12:52:47 -05:00
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Originally created by @HeroSong666 on GitHub (Jun 20, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/5155

What is the issue?

Error when running deepseek-coder-v2:
(base) root@fdtech-ai-node08:~# ollama run deepseek-coder-v2 pulling manifest pulling 5ff0abeeac1d... 94% ▕██████████████████████████████████████████████████ pulling manifest pulling 5ff0abeeac1d... 100% ▕████████████████▏ 8.9 GB pulling 732caedf08d1... 100% ▕████████████████▏ 112 B pulling 4bb71764481f... 100% ▕████████████████▏ 13 KB pulling 1c8f573e830c... 100% ▕████████████████▏ 1.1 KB pulling 19f2fb9e8bc6... 100% ▕████████████████▏ 32 B pulling c17ee51fe152... 100% ▕████████████████▏ 568 B verifying sha256 digest writing manifest removing any unused layers success Error: error loading model /root/.ollama/models/blobs/sha256:5ff0abeeac1d2dbdd54 55c0b49ba3b29a9ce3c1fb181b2eef2e948689d55d046 (base) root@fdtech-ai-node08:~# ollama run deepseek-coder-v2 Error: error loading model /root/.ollama/models/blobs/sha256:5ff0abeeac1d2dbdd5455c0b49ba3b29a9ce3c1fb181b2eef2e948689d55d046 (base) root@fdtech-ai-node08:~# ollama run deepseek-coder-v2 Error: error loading model /root/.ollama/models/blobs/sha256:5ff0abeeac1d2dbdd5455c0b49ba3b29a9ce3c1fb181b2eef2e948689d55d046 (base) root@fdtech-ai-node08:~# ollama run deepseek-coder-v2 Error: error loading model /root/.ollama/models/blobs/sha256:5ff0abeeac1d2dbdd5455c0b49ba3b29a9ce3c1fb181b2eef2e948689d55d046
I use 4*A30 to run ollama 0.1.44

OS

Linux

GPU

Nvidia

CPU

No response

Ollama version

0.1.44

Originally created by @HeroSong666 on GitHub (Jun 20, 2024). Original GitHub issue: https://github.com/ollama/ollama/issues/5155 ### What is the issue? Error when running deepseek-coder-v2: ` (base) root@fdtech-ai-node08:~# ollama run deepseek-coder-v2 pulling manifest pulling 5ff0abeeac1d... 94% ▕██████████████████████████████████████████████████ pulling manifest pulling 5ff0abeeac1d... 100% ▕████████████████▏ 8.9 GB pulling 732caedf08d1... 100% ▕████████████████▏ 112 B pulling 4bb71764481f... 100% ▕████████████████▏ 13 KB pulling 1c8f573e830c... 100% ▕████████████████▏ 1.1 KB pulling 19f2fb9e8bc6... 100% ▕████████████████▏ 32 B pulling c17ee51fe152... 100% ▕████████████████▏ 568 B verifying sha256 digest writing manifest removing any unused layers success Error: error loading model /root/.ollama/models/blobs/sha256:5ff0abeeac1d2dbdd54 55c0b49ba3b29a9ce3c1fb181b2eef2e948689d55d046 (base) root@fdtech-ai-node08:~# ollama run deepseek-coder-v2 Error: error loading model /root/.ollama/models/blobs/sha256:5ff0abeeac1d2dbdd5455c0b49ba3b29a9ce3c1fb181b2eef2e948689d55d046 (base) root@fdtech-ai-node08:~# ollama run deepseek-coder-v2 Error: error loading model /root/.ollama/models/blobs/sha256:5ff0abeeac1d2dbdd5455c0b49ba3b29a9ce3c1fb181b2eef2e948689d55d046 (base) root@fdtech-ai-node08:~# ollama run deepseek-coder-v2 Error: error loading model /root/.ollama/models/blobs/sha256:5ff0abeeac1d2dbdd5455c0b49ba3b29a9ce3c1fb181b2eef2e948689d55d046 ` I use 4*A30 to run ollama 0.1.44 ### OS Linux ### GPU Nvidia ### CPU _No response_ ### Ollama version 0.1.44
GiteaMirror added the bug label 2026-04-28 12:52:47 -05:00
GiteaMirror commented 2026-04-28 12:52:50 -05:00
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@binaryc0de commented on GitHub (Jun 20, 2024):

I and error as well with a little more detail.

(base) jason@jason-LOQ-15APH8:~$ ollama run deepseek-coder-v2
Error: llama runner process has terminated: signal: aborted (core dumped) CUDA error: CUBLAS_STATUS_NOT_INITIALIZED
current device: 0, in function cublas_handle at /go/src/github.com/ollama/ollama/llm/llama.cpp/ggml-cuda/common.cuh:653
cublasCreate_v2(&cublas_handles[device])
GGML_ASSERT: /go/src/github.com/ollama/ollama/llm/llama.cpp/ggml-cuda.cu💯 !"CUDA error"

OS
Linux

GPU
Nvidia

CPU
No response

Ollama version
0.1.44

<!-- gh-comment-id:2179750431 --> @binaryc0de commented on GitHub (Jun 20, 2024): I and error as well with a little more detail. (base) jason@jason-LOQ-15APH8:~$ ollama run deepseek-coder-v2 Error: llama runner process has terminated: signal: aborted (core dumped) CUDA error: CUBLAS_STATUS_NOT_INITIALIZED current device: 0, in function cublas_handle at /go/src/github.com/ollama/ollama/llm/llama.cpp/ggml-cuda/common.cuh:653 cublasCreate_v2(&cublas_handles[device]) GGML_ASSERT: /go/src/github.com/ollama/ollama/llm/llama.cpp/ggml-cuda.cu:100: !"CUDA error" OS Linux GPU Nvidia CPU No response Ollama version 0.1.44
GiteaMirror commented 2026-04-28 12:52:50 -05:00
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@lstep commented on GitHub (Jun 20, 2024):

Error seems to be coming from llama.cpp:

ollama[3568]: GGML_ASSERT: /go/src/github.com/ollama/ollama/llm/llama.cpp/ggml.c:5714: ggml_nelements(a) == ne0*ne1
ollama[3568]: time=2024-06-20T06:57:42.878Z level=ERROR source=sched.go:344 msg="error loading llama server" error="llama runner process has terminated: signal: aborted (core dumped) "

OS
Linux

GPU
Nvidia

CPU
No response

Ollama version
0.1.44

<!-- gh-comment-id:2179990076 --> @lstep commented on GitHub (Jun 20, 2024): Error seems to be coming from llama.cpp: ``` ollama[3568]: GGML_ASSERT: /go/src/github.com/ollama/ollama/llm/llama.cpp/ggml.c:5714: ggml_nelements(a) == ne0*ne1 ollama[3568]: time=2024-06-20T06:57:42.878Z level=ERROR source=sched.go:344 msg="error loading llama server" error="llama runner process has terminated: signal: aborted (core dumped) " ``` OS Linux GPU Nvidia CPU No response Ollama version 0.1.44
GiteaMirror commented 2026-04-28 12:52:51 -05:00
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@dhiltgen commented on GitHub (Jun 20, 2024):

deepseek v2 is fixed in 0.1.45

<!-- gh-comment-id:2180965947 --> @dhiltgen commented on GitHub (Jun 20, 2024): deepseek v2 is fixed in 0.1.45
GiteaMirror commented 2026-04-28 12:52:52 -05:00
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@dhiltgen commented on GitHub (Jun 20, 2024):

Actually, it looks like we might still be off slightly on our memory predictions for deepseek v2. We're much closer to reality, but off slightly. Lets track this via #5136

<!-- gh-comment-id:2180996972 --> @dhiltgen commented on GitHub (Jun 20, 2024): Actually, it looks like we might still be off slightly on our memory predictions for deepseek v2. We're much closer to reality, but off slightly. Lets track this via #5136
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