Update EXPORT.md

EXPORT.md

@@ -2,7 +2,7 @@
 
 The original model was exported using the following process:
 
-THe following repos were used:
+The following repos were used:
 - https://github.com/pdufour/Native-LLM-for-Android
 - https://github.com/pdufour/transformers.js/tree/add-block-list
 - 
@@ -11,4 +11,50 @@ If you close this repo and the above 2 to the same directory you can run the fol
 From `Qwen2-VL-2B-Instruct-ONNX-Q4-F16`:
 `make all-in-one`
 
-This will create an export of the onnx models.
+This will create an export of the onnx models.
+
+The following commands are all available:
+
+**General Commands**
+
+**all-in-one**
+Runs all steps (exporting, slimming, quantizing, cleaning, fixing GPU buffers) to produce fully prepared ONNX models.
+
+**Export Commands**
+
+**export**
+Combines export-abcd and export-e to generate ONNX models for all parts.
+
+**export-abcd**
+Exports model parts A, B, C, and D by running QwenVL_Export_ABCD.py.
+
+**export-e**
+Exports model part E by running QwenVL_Export_E.py.
+
+**Slimming Commands**
+
+***slim**
+Reduces ONNX model size by removing unnecessary elements for optimized deployment.
+
+**Quantization Commands**
+
+**quantize**
+Quantizes all model parts (A, B, C, D, and E) to optimize size and performance.
+
+**quantize-%**
+Quantizes a specific model part (% can be A, B, C, D, or E) with targeted configurations.
+
+**Cleanup Commands**
+
+**clean-large-files**
+Deletes ONNX files larger than 2GB from the destination directory to retain appropriately sized models.
+
+**GPU Buffer Fix Command**
+
+**fix-gpu-buffers**
+Applies fixes to GPU buffers in ONNX files for part E to ensure GPU memory compatibility.
+
+**Combined Target**
+
+all
+Alias for all-in-one to run the full ONNX model preparation pipeline.