Unverified50% confidenceCautionExact time
Inside the container, llama.cpp read the host machine's resources (60GB+ of memory, 16 cores) rather than the 4GB plan quota, causing the prompt cache to potentially grow to 8GB and trigger an OOM; three LLAMA_ARG_* environment variables were used to set it back to within 4GB.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/18/2026
First Seen
Valid until: 1/16/2027
Sources
Related Entities
Related Claims
UnverifiedKimodo CPP still requires a minimum of 4GB of RAM, and the model weights themselves occupy approximately 25GB of storage space73% similarUnverifiedStoring 100 million 1536-dimensional OpenAI embedding vectors in float32 requires approximately 600 GB of memory, which can be compressed to approximately 150 GB after 8-bit scalar quantization.72% similar
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