Update README.md

README.md

@@ -20,7 +20,8 @@ pipeline_tag: text-generation
 [Phi4-mini](https://huggingface.co/microsoft/Phi-4-mini-instruct) is quantized by the PyTorch team using [torchao](https://huggingface.co/docs/transformers/main/en/quantization/torchao) with 8-bit embeddings and 8-bit dynamic activations with 4-bit weight linears (8da4w).
 The model is suitable for mobile deployment with [ExecuTorch](https://github.com/pytorch/executorch).
 
-See [Exporting to ExecuTorch](#exporting-to-executorch) for exporting the quantized model to an ExecuTorch pte file.  We also provide the [quantized pte](https://huggingface.co/pytorch/Phi-4-mini-instruct-8da4w/blob/main/phi4-mini-8da4w.pte) for direct use.  
+See [Exporting to ExecuTorch](#exporting-to-executorch) for exporting the quantized model to an ExecuTorch pte file.  We also provide the [quantized pte](https://huggingface.co/pytorch/Phi-4-mini-instruct-8da4w/blob/main/phi4-mini-8da4w.pte) for direct use.
+(The provided pte file is exported with the default max_seq_length/max_context_length of 128; if you wish to change this, re-export the model following the instructions in [Exporting to ExecuTorch](#exporting-to-executorch).)  
 
 # Running in a mobile app
 The [pte file](https://huggingface.co/pytorch/Phi-4-mini-instruct-8da4w/blob/main/phi4-mini-8da4w.pte) can be run with ExecuTorch on a mobile phone.  See the [instructions](https://pytorch.org/executorch/main/llm/llama-demo-ios.html) for doing this in iOS.
@@ -199,7 +200,8 @@ The following script does this for you.  We have uploaded the converted checkpoi
 python -m executorch.examples.models.phi_4_mini.convert_weights pytorch_model.bin phi4-mini-8da4w-converted.bin
 ```
 
-Once the checkpoint is converted, we can export to ExecuTorch's PTE format with the XNNPACK delegate.
+Once the checkpoint is converted, we can export to ExecuTorch's pte format with the XNNPACK delegate.
+The below command exports with a max_seq_length/max_context_length of 128, which is the default value.
 
 ```Shell
 PARAMS="executorch/examples/models/phi_4_mini/config.json"
@@ -211,6 +213,8 @@ python -m executorch.examples.models.llama.export_llama \
   --use_sdpa_with_kv_cache \
   -X \
   --metadata '{"get_bos_id":199999, "get_eos_ids":[200020,199999]}' \
+  --max_seq_length 128 \
+  --max_context_length 128 \
   --output_name="phi4-mini-8da4w.pte"
 ```