Two environment variables prevent memory leaks in Ollama, vLLM, and TGI by fixing glibc heap fragmentation issues

Model servers like Ollama, vLLM, and TGI experience memory creep caused by glibc's heap allocator fragmenting and not returning pages to the OS

Setting MALLOC_MMAP_THRESHOLD_=65536 and MALLOC_TRIM_THRESHOLD_=65536 before process startup resolves the issue without code changes

Testing on 13 diffusion models showed dramatic improvement: before the fix, OOM occurred at 52GB after 17 hours; after the fix, memory remained stable at ~1.2GB indefinitely

Full benchmark data and testing script available on GitHub at brjen/pytorch-memory-fix repository