Update README.md

README.md

@@ -12,8 +12,5 @@ pipeline_tag: automatic-speech-recognition
 Moonshine models for regression/performance testing. Derived from `UsefulSensors/moonshine`.
 
 ## Repository contents
-- `models/bf16/{onnx,mlir}`: full-precision (bf16 weights/activations) encoder, decoder, and decoder-with-past graphs exported from ONNX and converted to Torch-MLIR.
-- `models/quantized/{onnx,mlir}`: quantized counterparts of the above graphs.
-
-## Notes
-- Static model export and dtype conversion done with `torq-tools`
+- `models/{bf16,quantized}/onnx`: Static ONNX models exported from [torq-tools](https://github.com/synaptics-torq/torq-tools).
+- `models/{bf16}/vmfb`: Compiled VMFB binaries for use in applications.