From 400a8b287fbd87963fc9dbcb49808438254b5f1b Mon Sep 17 00:00:00 2001
From: raushan <raushan@huggingface.co>
Date: Wed, 10 Jul 2024 14:24:40 +0200
Subject: [PATCH] remove default templates (see #31733)

---
 .../models/llava/processing_llava.py          | 54 -------------------
 .../llava_next/processing_llava_next.py       | 54 -------------------
 2 files changed, 108 deletions(-)

diff --git a/src/transformers/models/llava/processing_llava.py b/src/transformers/models/llava/processing_llava.py
index debdb3a193307e..96d38c53c947af 100644
--- a/src/transformers/models/llava/processing_llava.py
+++ b/src/transformers/models/llava/processing_llava.py
@@ -134,57 +134,3 @@ def model_input_names(self):
         tokenizer_input_names = self.tokenizer.model_input_names
         image_processor_input_names = self.image_processor.model_input_names
         return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names))
-
-    @property
-    def default_chat_template(self):
-        """
-        This default vicuna template formats inputs in the form of a chat history. For each message in the chat history:
-        * The template will output the role of the speaker followed by the content of the message.
-        * Content in the input should be a a list of dicts for each modality (image/text).If the modality is image, the template will output an <image> token
-        * In the output you will get a formatted prompt as a string
-
-        Example:
-
-        ```python
-        messages = [{
-            "role": "user",
-            "content": [
-                {"type": "text", "text": "What’s the content of this image?"},
-                {"type": "image"},
-                ],
-        },
-        {
-            "role": "assistant",
-            "content": [{"type": "text", "text": "This picture shows a red stop sign."},]
-        }]
-        ```
-
-        Will create outputs like:
-        ```
-        USER: <image>\nWhat is the content of this image? ASSISTANT: This picture shows a red stop sign
-        ```
-        """
-        # fmt: off
-        return (
-            "{% for message in messages %}"
-                "{% if message['role'] == 'system' %}"
-                    "{{ message['content'][0]['text'] }}"
-                "{% else %}"
-                    "{{ message['role'].upper() + ': '}}"
-                "{% endif %}"
-
-                "{# Render all images first #}"
-                "{% for content in message['content'] | selectattr('type', 'equalto', 'image') %}"
-                    "{{ '<image>\n' }}"
-                "{% endfor %}"
-
-                "{# Render all text finally #}"
-                "{% for content in message['content'] | selectattr('type', 'equalto', 'text') %}"
-                    "{{ content['text'] + ' '}}"
-                "{% endfor %}"
-            "{% endfor %}"
-            "{% if add_generation_prompt %}"
-                "{{ 'ASSISTANT:' }}"
-            "{% endif %}"
-        )
-        # fmt: on
diff --git a/src/transformers/models/llava_next/processing_llava_next.py b/src/transformers/models/llava_next/processing_llava_next.py
index 5c306cb40c410c..6c2ca2f9028409 100644
--- a/src/transformers/models/llava_next/processing_llava_next.py
+++ b/src/transformers/models/llava_next/processing_llava_next.py
@@ -138,57 +138,3 @@ def model_input_names(self):
         tokenizer_input_names = self.tokenizer.model_input_names
         image_processor_input_names = self.image_processor.model_input_names
         return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names))
-
-    @property
-    def default_chat_template(self):
-        """
-        This default vicuna template formats inputs in the form of a chat history. For each message in the chat history:
-        * The template will output the role of the speaker followed by the content of the message.
-        * Content in the input should be a a list of dicts for each modality (image/text).If the modality is image, the template will output an <image> token
-        * In the output you will get a formatted prompt as a string
-
-        Example:
-
-        ```python
-        messages = [{
-            "role": "user",
-            "content": [
-                {"type": "text", "text": "What’s the content of this image?"},
-                {"type": "image"},
-                ],
-        },
-        {
-            "role": "assistant",
-            "content": [{"type": "text", "text": "This picture shows a red stop sign."},]
-        }]
-        ```
-
-        Will create outputs like:
-        ```
-        USER: <image>\nWhat is the content of this image? ASSISTANT: This picture shows a red stop sign
-        ```
-        """
-        # fmt: off
-        return (
-            "{% for message in messages %}"
-                "{% if message['role'] == 'system' %}"
-                    "{{ message['content'][0]['text'] }}"
-                "{% else %}"
-                    "{{ message['role'].upper() + ': '}}"
-                "{% endif %}"
-
-                "{# Render all images first #}"
-                "{% for content in message['content'] | selectattr('type', 'equalto', 'image') %}"
-                    "{{ '<image>\n' }}"
-                "{% endfor %}"
-
-                "{# Render all text finally #}"
-                "{% for content in message['content'] | selectattr('type', 'equalto', 'text') %}"
-                    "{{ content['text'] + ' '}}"
-                "{% endfor %}"
-            "{% endfor %}"
-            "{% if add_generation_prompt %}"
-                "{{ 'ASSISTANT:' }}"
-            "{% endif %}"
-        )
-        # fmt: on