Hugging Face Transformers v5.13.0 Adds a Unified Export Pipeline and Kimi K2.5 Architecture

Hugging Face·low signal

Transformers v5.13.0 introduces a native in-library export pipeline built on one HfExporter base class with three runtime subclasses — DynamoExporter (PyTorch), OnnxExporter (ONNX), and ExecutorchExporter (ExecuTorch) — consolidating what were previously separate export paths. The release also adds architecture support for Kimi K2.5 (a native-multimodal agentic model underpinning the 2.5–2.7 line) and Xiaomi's MiMo-V2-Flash, plus generation, attention, cache, and quantization fixes. For builders, one export API across PyTorch/ONNX/ExecuTorch simplifies shipping the same model to both server and on-device targets.