can't convert keras model to tflite
Hi @meixitu17 

The issue might be caused because the flatbuffers limit of 2GB. However, for  LLM models you can refer to our new tutorial 
https://www.tensorflow.org/lite/examples/auto_complete/overview

This tutorial provides example for  Auto complete based on [PaLM](https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html) model, fine tuned on 1.5 Billion parameters.

This model is based on Keras NLP and then converted to TFLite and TFLite runtime.

Thanks. @pjpratik 
    Yes, I saw you Palm model tutorial , but I did not try it yet.  It seems this flow only can use keras_nlp models. right?

    the flatbuffer 2GB limit should be resolved in tf2.14
![image](https://github.com/tensorflow/tensorflow/assets/68658008/2e11c447-ee88-4e66-8df4-bfc68bdc3a73)

Thanks Hi @meixitu17 

The flow should work for any keras model as well. Incase your model is an LLM, you can see if the [tutorial](https://www.tensorflow.org/lite/examples/auto_complete/overview) helps for your use case.

Thanks. @pjpratik ,

    Thanks, I will try it.

Thanks @pjpratik ,
1) I tried this 'auto complete' tutorial, here is the code, i just use python=3.9, and pip install keras_nlp==0.6.2, (actually, i tried 0.6.0,0.6.1,0.6.2.dev0, NO version work), did not install others

![image](https://github.com/tensorflow/tensorflow/assets/68658008/d5c203ec-2b9a-4773-8097-eab65ba4b3d2)

there are something wrong:
![image](https://github.com/tensorflow/tensorflow/assets/68658008/c065a8a2-f377-49a4-8ffc-f108b7f9389c)


2) in this tutorial, there is " Note that you can also use from_keras_model() from [TFLiteConverter]"
(https://www.tensorflow.org/api_docs/python/tf/lite/TFLiteConverter#from_keras_model) in order to perform the conversion.

So If I had a keras model, the convert flow seems no different with my code in the first page:

import tensorflow as tf

keras_model = tf.keras.models.load_model(keras_model_filename)
converter = tf.lite.TFLiteConverter.from_keras_model(keras_model)
tflite_model = converter.convert()

file = open(tflite_model_filename, 'wb‘）
file.write(tflite_model)

Could you please give me an example how to convert the big keras model to tflite?

Thanks Hi @meixitu17 

I have tried the [autocomplete](https://www.tensorflow.org/lite/examples/auto_complete/overview) tutorial on google colab and I was able to run without any errors. Please find this [gist](https://colab.research.google.com/gist/pjpratik/671f772ca1f754d618d00a6581c31f36/61995.ipynb).

If you could share your model inorder to reproduce the issue, that would help us to understand the cause better.

Thanks.
 This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. @pjpratik 
    I read all of your scripts, and tried it. I can generate tflite gpt2 to tflite successfully.
Thanks

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 22
- TensorFlow installation (pip package or built from source): pip 
- TensorFlow library (version, if pip package or github SHA, if built from source): 2.14.0 or tf-nightly

### 2. Code

Provide code to help us reproduce your issues using one of the following options:

#### Option A: Reference colab notebooks

1)  Reference [TensorFlow Model Colab](https://colab.research.google.com/gist/ymodak/e96a4270b953201d5362c61c1e8b78aa/tensorflow-datasets.ipynb?authuser=1): Demonstrate how to build your TF model.
2)  Reference [TensorFlow Lite Model Colab](https://colab.research.google.com/gist/ymodak/0dfeb28255e189c5c48d9093f296e9a8/tensorflow-lite-debugger-colab.ipynb): Demonstrate how to convert your TF model to a TF Lite model (with quantization, if used) and run TFLite Inference (if possible).

```
(You can paste links or attach files by dragging & dropping them below)
- Provide links to your updated versions of the above two colab notebooks.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)
- Include code to invoke the TFLite Converter Python API and the errors.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```
import tensorflow as tf

keras_model = tf.keras.models.load_model(keras_model_filename)
converter = tf.lite.TFLiteConverter.from_keras_model(keras_model)
tflite_model = converter.convert()

file = open(tflite_model_filename, 'wb‘）
file.write(tflite_model)

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong:

- Model produces wrong results and/or has lesser accuracy.
- Model produces correct results, but it is slower than expected.

### 4. (optional) RNN conversion support
If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.

### 5. (optional) Any other info / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.
![image](https://github.com/tensorflow/tensorflow/assets/68658008/dc88001c-02c2-42c6-8c74-8de447c5a776)
