Local Ai
Downloading an AI model just to hit an OOM error is the worst. 📉
This Reddit post from r/ollama discusses the frustrating experience of spending time downloading a large AI model via Ollama only to encounter an Out-of-Memory (OOM) error when attempting to run it, m
This Reddit post from r/ollama discusses the frustrating experience of spending time downloading a large AI model via Ollama only to encounter an Out-of-Memory (OOM) error when attempting to run it, meaning the model exceeds the system's available RAM or VRAM. The thread likely includes community discussion around identifying compatible model sizes before downloading, using quantized model variants to reduce memory requirements, and tools or commands to check system memory constraints in advance. It reflects a common pain point for local AI enthusiasts where model file sizes and actual runtime memory demands are not always immediately obvious.
Related
- Not downloading
- Can't get a good coding setup on Macbook Pro M3 Max 36GB
- llama4 108b
- any decent model to run on 9070xt locally
- Tried running LLMs locally to save API costs… ended up waiting 13 minutes for ONE response 🤡
- Running local models for coding — what's your actual context strategy for large codebases?
Source: r/ollama | 2026-04-14