I am using lm studio for my deepseek model, it connects fine, i even see the input in the lm studio logs, but then it suddenly just times out, is this because i am using a too powerfull model or is just something wrong with my setup
{
“errorMessage”: “Request timed out.”,
“errorDetails”: {},
“n8nDetails”: {
“time”: “17. 11. 2025, 18:35:22”,
“n8nVersion”: “1.105.4 (Self Hosted)”,
“binaryDataMode”: “filesystem”
}
}
The timeout issue with your Deepseek model in LM Studio is likely due to the model taking too long to generate a response. Here are a few things to try:
• **Increase the timeout setting** in your HTTP Request node or OpenAI-compatible node - look for a “Timeout” field and increase it from the default (usually 60 seconds) to something like 300 seconds
• **Check your model size** - larger models take significantly more time to respond, especially if you don’t have enough VRAM or are running on CPU
• **Reduce your prompt complexity** - try with a shorter, simpler prompt first to see if it responds faster
• **Monitor LM Studio** - check if the model is actually processing or if it’s stuck - you should see token generation happening in the LM Studio interface
Since you can see the input in LM Studio logs, the connection is working fine - it’s just a timing issue with response generation.
