4 posts
Kizzasi 0.2.3 removes the last C dependency (Oniguruma) from published crates via a candle fork — fixed for downstream users, not just this workspace. Ships pure-Rust video (OxiMedia Y4M decode + camera capture), pure mqtt-tls, and a new kizzasi-metal crate for safe cross-platform Metal acceleration.
Kizzasi 0.2.2 ships a WebGPU acceleration backend, real tensorlogic-ir constraint compilation, PEAQ perceptual audio quality evaluation, and multi-speaker tokenization — alongside a wide correctness sweep that fixes training, SSM recurrences, and weight serialization that were silently broken since 0.2.1. 2,744 tests passing, 100% Pure Rust.
Kizzasi 0.2.1 turns the Pure-Rust AGSP into a full training + deployment stack: full backprop through SSM recurrence, RWKV v5/v7, Neural ODE and Spiking models, LoRA fine-tuning, GGUF loading, gRPC/REST servers, Python bindings, and no_std embedded inference.
Kizzasi 0.1.0 is the first release of an Autoregressive General-Purpose Signal Predictor (AGSP) in Pure Rust — neuro-symbolic prediction for audio, sensors, robotics, and video that fuses State Space Models (Mamba/RWKV/S4) with TensorLogic constraints.