July 2026 monthly summary for Blaizzy/mlx-audio. Focused on delivering performance improvements for the MOSS-TD model's audio feature pipeline and strengthening test coverage. The work aligns with business goals of lower latency and lower compute cost in production while maintaining output fidelity.

June 2026: Key Higgs v3 improvements in Blaizzy/mlx-audio focused on reuse, scalability, and throughput. Achievements include caching and encoding utilities for reference audio, batch-generation capabilities with continuous batching and KV-cache merging, and autoregressive decoding optimizations. These changes lower per-generation compute, enable reuse of reference codes across generations, and increase TTS throughput for large-scale deployments. Maintained high code quality with tests and documentation.

October 2025 monthly summary focusing on key accomplishments for the ml-explore/mlx-swift-examples repository. Delivered Qwen3 embedding model integration, enabling enhanced embedding generation and downstream usefulness.

August 2025 monthly summary for ml-explore/mlx-swift-examples focusing on stabilizing DeepSeek V3 workflows and RoPE weights handling. Implemented a configuration parsing fix and enhanced RoPE weight loading to improve model initialization, flexibility, and performance in Swift examples. Delivered a targeted, production-facing fix with clean commit that supports broader experimentation and deployment readiness.

July 2025 monthly summary for ml-explore/mlx-swift-examples focused on stabilizing multi-threaded MLX sampling by addressing thread-safety in concurrent samplers. Delivered a critical bug fix isolating random state per sampler, preventing cross-sampler interference and increasing reliability of multi-threaded inference. The change, tracked under issue #351, was implemented via commit 8dfd9ee01eb99f7b362ef19cdf2254bdc4627b8c, and directly improves the production readiness of the Swift example suite.