Claude Code has released version 2.1.170, featuring the new Claude Fable 5 model, which is part of the Mythos-class and now safe for general use. This model is the most capable ever made generally available by the company. The update also fixes a bug where session transcripts were not saving when launched from specific environments like the VS Code integrated terminal. This release enhances both the model's capabilities and the platform's reliability for developers.
Read originalThe latest b9590 release of llama.cpp addresses a critical issue where the LFM2 template handler was ignoring the json_schema from response_format, focusing solely on tool-calling grammar. This update ensures more robust handling of JSON schemas, which is crucial for developers relying on precise data formatting. The release also includes a variety of platform-specific builds, though some features like KleidiAI on macOS and SYCL on Windows remain disabled. This update is a step forward in refining the tool's functionality, particularly for those working with complex data structures.
The b9591 release of llama.cpp brings notable improvements to Multi-Task Processing (MTP) by removing padding and optimizing data handling. The update refines the ggml_gated_delta_net function, which now only requires the initial recurrent state and uses a snapshot count as an operational parameter, enhancing processing efficiency. These changes are implemented across all backends, addressing previous review comments and fixing CI build errors. With support for diverse hardware configurations, including macOS Apple Silicon, ROCm 7.2 on Ubuntu, and CUDA 12 and 13 on Windows, this release is a significant step forward for developers seeking improved performance and reliability.
The b9601 release of llama.cpp significantly extends its reach by supporting more platforms, enhancing its utility for developers. This update includes Ubuntu builds with ROCm 7.2, which is a boon for AMD GPU users seeking alternatives to NVIDIA's CUDA. Although features like KleidiAI on macOS and SYCL on Windows are currently disabled, the release still represents a meaningful step in making llama.cpp adaptable to a wider range of hardware. While no new models are introduced, the focus on expanding runtime compatibility marks a strategic move to increase the tool's versatility.