vLLM has released version 0.20.2, a small patch update aimed at fixing bugs in DeepSeek V4, gpt-oss, and Qwen3-VL. Key fixes include resolving a hang issue in DeepSeek V4 by re-enabling the persistent topk path and addressing a KV cache allocation error. The update also ensures gpt-oss compatibility with MXFP4 under torch.compile and removes an invalid boundary check in Qwen3-VL. These improvements are designed to enhance model stability and performance.
Read originalLlama.cpp's latest update introduces speculative decoding support for GLM-5.2, enhancing its capabilities with NextN/MTP features. This addition allows for more efficient tensor loading and context management, particularly benefiting models using the GLM_DSA architecture. The update also includes options for exporting models with or without the MTP feature, providing flexibility for developers. This release marks a step forward in optimizing model performance and adaptability, especially for those leveraging the GLM-5.2 framework.
The b10178 release of llama.cpp enhances its server capabilities by adding trace logging for slot similarity checking, offering developers detailed insights into prompt cache slot selection processes. This update includes specifics on skip reasons and similarity calculations, which can aid in performance optimization. While no new model architectures are introduced, the release continues to support a wide array of platforms, such as macOS with KleidiAI, Ubuntu with ROCm 7.2, and Windows with CUDA 12 and 13. This makes llama.cpp a more versatile tool for developers working on different systems, reinforcing its position as a comprehensive inference runtime.