Self Hosted AI starter kit [ERROR: llama runner process has terminated: signal: killed]

[Ruslan_Yanyshyn]

Hello @bartv
I just installed CPU version on my VPN linux instance and I am getting this error every time I chat with llama. [ERROR: llama runner process has terminated: signal: killed]

{
  "errorMessage": "Internal error",
  "errorDetails": {},
  "n8nDetails": {
    "n8nVersion": "1.55.3 (Self Hosted)",
    "binaryDataMode": "default",
    "stackTrace": [
      "ResponseError: llama runner process has terminated: signal: killed",
      "    at checkOk (/usr/local/lib/node_modules/n8n/node_modules/ollama/dist/shared/ollama.384eb0a9.cjs:72:9)",
      "    at processTicksAndRejections (node:internal/process/task_queues:95:5)",
      "    at post (/usr/local/lib/node_modules/n8n/node_modules/ollama/dist/shared/ollama.384eb0a9.cjs:119:3)",
      "    at Ollama.processStreamableRequest (/usr/local/lib/node_modules/n8n/node_modules/ollama/dist/shared/ollama.384eb0a9.cjs:231:25)",
      "    at ChatOllama._streamResponseChunks (/usr/local/lib/node_modules/n8n/node_modules/@langchain/ollama/dist/chat_models.cjs:474:24)",
      "    at ChatOllama._generate (/usr/local/lib/node_modules/n8n/node_modules/@langchain/ollama/dist/chat_models.cjs:407:26)",
      "    at async Promise.allSettled (index 0)",
      "    at ChatOllama._generateUncached (/usr/local/lib/node_modules/n8n/node_modules/@langchain/core/dist/language_models/chat_models.cjs:177:29)",
      "    at LLMChain._call (/usr/local/lib/node_modules/n8n/node_modules/langchain/dist/chains/llm_chain.cjs:162:37)",
      "    at LLMChain.invoke (/usr/local/lib/node_modules/n8n/node_modules/langchain/dist/chains/base.cjs:58:28)"
    ]
  }
}```

[n8n]

It looks like your topic is missing some important information. Could you provide the following if applicable.

• n8n version:
• Database (default: SQLite):
• n8n EXECUTIONS_PROCESS setting (default: own, main):
• Running n8n via (Docker, npm, n8n cloud, desktop app):
• Operating system:

[Ruslan_Yanyshyn]

That was lack of memory in the Container.