Synchronization And Thread Safety For Model Inference

via “synchronization-and-thread-safety-for-model-inference”

A self-hosted copilot clone which uses the library behind llama.cpp to run the 6 billion parameter Salesforce Codegen model in 4 GB of RAM.

via “thread-safe synchronous inference execution”

Unique: Uses a simple mutex wrapper (predict() calls predict_impl() under lock) rather than implementing thread-safe GGML context management or request queuing — minimal code but poor concurrency characteristics

vs others: Simpler than async/await patterns or explicit request queuing, but creates severe bottleneck under concurrent load vs vLLM's batched inference or Ray's distributed execution