Overview:

This release adds OCP FP8 E4M3 quantization support, a new flash_attn_ext_rows op that makes the unified KV cache efficient for multi-sequence inference, and a generic batched tensor copy API. Four new architectures are supported (Clover, Limite, Metis-1.6 and Mistral Large 4), audio generation and transcription expand with Chatterbox TTS, Nemotron 3.5 Transcribe and predefined Pocket TTS voices, and the Gemma 4 E2B/E4B models get major prefill optimizations. ggml is updated to v0.29.0, bringing FP8 E4M3, flash attention rows, NCCL-based multi-node tensor parallelism and performance work across the CPU, CUDA, SYCL, Metal, Vulkan, OpenCL and Hexagon backends. The server and UI receive a round of fixes and refinements.

Is the next release going to be v1.0? Maybe with all the MoE caching improvements that should be culminating with https://github.com/ggml-org/llama.cpp/pull/30966 and Qwen 4 support?