What is a .Keras file?
A .keras file is the modern Keras 3 save format: a ZIP holding config.json, which describes the network layer by layer, alongside the weights.
- Did you know
- Keras separated the architecture from the weights from the start, which is why the shape of a network can be read out of one without touching a single number.
- Analyser handles .Keras alongside related formats such as .ONNX, .Safetensors, .GGUF and more.
- In Analyser's format library, .Keras sits in the System & disk category.
- What Analyser shows you
- Open machine-learning models and read what is actually in them. ONNX models and frozen TensorFlow graphs are drawn as a graph: every operation as a box, every tensor flowing between them as a line, laid out left to right by depth so parallel branches sit side by side. Neither format stores the connections - a node follows another because one of its inputs is one of the other's outputs - so the edges are recovered by matching those names. Alongside the picture: the operation mix that fingerprints the architecture, the input and output shapes (including the dynamic ones a model leaves open), every weight tensor with its shape, and the total parameter count. Weight files are read too - Safetensors and GGUF give up their full tensor list, precision and parameter count, and a GGUF also declares its architecture, context length and quantisation. A PyTorch checkpoint is a Python pickle, which is a program rather than a document, so nothing in it is ever run: the opcodes are read as bytes and every module it would import is listed, with anything a file of numbers has no business touching flagged. Keras models have their layer list read from the architecture JSON.
- Open a .Keras file
- Drag a .Keras file onto the Analyser home page (or tap to pick one). It opens entirely in your browser - nothing is uploaded, there is no account, and it works offline once installed.