Engine
Bare-metal speed.
No Python bloat.
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SeraphByte is an independent, zero-dependency LLM inference engine engineered in Rust. By completely bypassing heavy Python environments and deep learning frameworks, it manages raw hardware memory and tensor instructions natively.
From its custom binary-token parsing to quantized weight memory-mapping, SeraphByte represents a massive leap forward in making consumer hardware (down to GTX 10-series GPUs) viable for lightning-fast, high-context generation.
Zero-Dependency Design. Written 100% in Rust. Bypasses the footprint of CUDA python bridges, PyTorch, and massive system abstractions.
Low-Latency Streaming. Employs memory-efficient tokenization and unified WebSockets to stream generations with sub-millisecond network overhead.
Optimized Quant Loading. Reads quantized weights dynamically with optimized memory-allocation strategies designed for consumer-grade hardware limits.