Thread Safe Synchronous Inference Execution

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.

Unique: Implements simple mutex-based synchronization in model base class to serialize inference, whereas more sophisticated servers use request queuing, batching, or multi-GPU inference to handle concurrency

vs others: Simple and correct but inefficient under load; more sophisticated approaches (batching, async) would improve throughput but add complexity