Precise prompts for instruct mode

characters/instruction-following/Alpaca.yaml

@@ -1,3 +1,4 @@
 name: "### Response:"
 your_name: "### Instruction:"
-context: "Below is an instruction that describes a task. Write a response that appropriately completes the request."
+context: "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n"
+turn_template: "<|user|>\n<|user-message|>\n\n<|bot|>\n<|bot-message|>\n\n"

characters/instruction-following/ChatGLM.yaml

@@ -1,3 +1,4 @@
 name: "答:"
 your_name: "[Round <|round|>]\n问:"
 context: ""
+turn_template: "<|user|><|user-message|>\n<|bot|><|bot-message|>\n"

characters/instruction-following/Koala.yaml

@@ -1,3 +1,4 @@
 name: "GPT:"
 your_name: "USER:"
-context: "BEGINNING OF CONVERSATION:"
+context: "BEGINNING OF CONVERSATION: "
+turn_template: "<|user|> <|user-message|> <|bot|><|bot-message|></s>"

characters/instruction-following/LLaVA.yaml

@@ -1,3 +1,4 @@
 name: "### Assistant"
 your_name: "### Human"
-context: "You are LLaVA, a large language and vision assistant trained by UW Madison WAIV Lab. You are able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language. Follow the instructions carefully and explain your answers in detail.\n### Human: \nHi!\n### Assistant: \nHi there! How can I help you today?\n"
+context: "You are LLaVA, a large language and vision assistant trained by UW Madison WAIV Lab. You are able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language. Follow the instructions carefully and explain your answers in detail.\n### Human: \nHi!\n### Assistant: \nHi there! How can I help you today?\n"
+turn_template: "<|user|>\n<|user-message|>\n<|bot|>\n<|bot-message|>\n"

characters/instruction-following/Open Assistant.yaml

@@ -1,3 +1,3 @@
 name: "<|assistant|>"
 your_name: "<|prompter|>"
-end_of_turn: "<|endoftext|>"
+turn_template: "<|user|><|user-message|><|endoftext|><|bot|><|bot-message|><|endoftext|>"

characters/instruction-following/RWKV-Raven.yaml

@@ -0,0 +1,3 @@
+name: "Alice:"
+your_name: "Bob:"
+turn_template: "<|user|> <|user-message|>\n\n<|bot|><|bot-message|>\n\n"

characters/instruction-following/Vicuna-v0.yaml

@@ -0,0 +1,4 @@
+name: "### Assistant:"
+your_name: "### Human:"
+context: "A chat between a human and an assistant.\n\n"
+turn_template: "<|user|> <|user-message|>\n<|bot|> <|bot-message|>\n"

characters/instruction-following/Vicuna.yaml

@@ -1,3 +1,4 @@
-name: "### Assistant:"
-your_name: "### Human:"
-context: "Below is an instruction that describes a task. Write a response that appropriately completes the request."
+name: "ASSISTANT:"
+your_name: "USER:"
+context: "A chat between a user and an assistant.\n\n"
+turn_template: "<|user|> <|user-message|>\n<|bot|> <|bot-message|></s>\n"

models/config.yaml

@@ -52,3 +52,6 @@ llama-[0-9]*b-4bit$:
   mode: 'instruct'
   model_type: 'llama'
   instruction_template: 'LLaVA'
+.*raven:
+  mode: 'instruct'
+  instruction_template: 'RWKV-Raven'

modules/chat.py

@@ -17,12 +17,20 @@ from modules.text_generation import (encode, generate_reply,
                                      get_max_prompt_length)
 
 
+# Replace multiple string pairs in a string
+def replace_all(text, dic):
+    for i, j in dic.items():
+        text = text.replace(i, j)
+
+    return text
+
+
 def generate_chat_prompt(user_input, state, **kwargs):
     impersonate = kwargs['impersonate'] if 'impersonate' in kwargs else False
     _continue = kwargs['_continue'] if '_continue' in kwargs else False
     also_return_rows = kwargs['also_return_rows'] if 'also_return_rows' in kwargs else False
     is_instruct = state['mode'] == 'instruct'
-    rows = [f"{state['context'].strip()}\n"]
+    rows = [state['context'] if is_instruct else f"{state['context'].strip()}\n"]
     min_rows = 3
 
     # Finding the maximum prompt size
@@ -31,38 +39,50 @@ def generate_chat_prompt(user_input, state, **kwargs):
         chat_prompt_size -= shared.soft_prompt_tensor.shape[1]
 
     max_length = min(get_max_prompt_length(state), chat_prompt_size)
-    if is_instruct:
-        prefix1 = f"{state['name1']}\n"
-        prefix2 = f"{state['name2']}\n"
-    else:
-        prefix1 = f"{state['name1']}: "
-        prefix2 = f"{state['name2']}: "
 
+    # Building the turn templates
+    if 'turn_template' not in state or state['turn_template'] == '':
+        if is_instruct:
+            template = '<|user|>\n<|user-message|>\n<|bot|>\n<|bot-message|>\n'
+        else:
+            template = '<|user|>: <|user-message|>\n<|bot|>: <|bot-message|>\n'
+    else:
+        template = state['turn_template'].replace(r'\n', '\n')
+
+    replacements = {
+        '<|user|>': state['name1'].strip(),
+        '<|bot|>': state['name2'].strip(),
+    }
+
+    user_turn = replace_all(template.split('<|bot|>')[0], replacements)
+    bot_turn = replace_all('<|bot|>' + template.split('<|bot|>')[1], replacements)
+    user_turn_stripped = replace_all(user_turn.split('<|user-message|>')[0], replacements)
+    bot_turn_stripped = replace_all(bot_turn.split('<|bot-message|>')[0], replacements)
+
+    # Building the prompt
     i = len(shared.history['internal']) - 1
     while i >= 0 and len(encode(''.join(rows))[0]) < max_length:
         if _continue and i == len(shared.history['internal']) - 1:
-            rows.insert(1, f"{prefix2}{shared.history['internal'][i][1]}")
+            rows.insert(1, bot_turn_stripped + shared.history['internal'][i][1].strip())
         else:
-            rows.insert(1, f"{prefix2}{shared.history['internal'][i][1].strip()}{state['end_of_turn']}\n")
+            rows.insert(1, bot_turn.replace('<|bot-message|>', shared.history['internal'][i][1].strip()))
 
         string = shared.history['internal'][i][0]
         if string not in ['', '<|BEGIN-VISIBLE-CHAT|>']:
-            this_prefix1 = prefix1.replace('<|round|>', f'{i}')  # for ChatGLM
-            rows.insert(1, f"{this_prefix1}{string.strip()}{state['end_of_turn']}\n")
+            rows.insert(1, replace_all(user_turn, {'<|user-message|>': string.strip(), '<|round|>': str(i)}))
 
         i -= 1
 
     if impersonate:
         min_rows = 2
-        rows.append(f"{prefix1.strip() if not is_instruct else prefix1}")
+        rows.append(user_turn_stripped)
     elif not _continue:
         # Adding the user message
         if len(user_input) > 0:
-            this_prefix1 = prefix1.replace('<|round|>', f'{len(shared.history["internal"])}')  # for ChatGLM
-            rows.append(f"{this_prefix1}{user_input}{state['end_of_turn']}\n")
+            rows.append(replace_all(user_turn, {'<|user-message|>': user_input.strip(), '<|round|>': str(len(shared.history["internal"]))}))
 
         # Adding the Character prefix
-        rows.append(apply_extensions("bot_prefix", f"{prefix2.strip() if not is_instruct else prefix2}"))
+        rows.append(apply_extensions("bot_prefix", bot_turn_stripped))
 
     while len(rows) > min_rows and len(encode(''.join(rows))[0]) >= max_length:
         rows.pop(1)
@@ -416,7 +436,7 @@ def generate_pfp_cache(character):
 
 def load_character(character, name1, name2, mode):
     shared.character = character
-    context = greeting = end_of_turn = ""
+    context = greeting = turn_template = ""
     greeting_field = 'greeting'
     picture = None
 
@@ -445,7 +465,9 @@ def load_character(character, name1, name2, mode):
                 data[field] = replace_character_names(data[field], name1, name2)
 
         if 'context' in data:
-            context = f"{data['context'].strip()}\n\n"
+            context = data['context']
+            if mode != 'instruct':
+                context = context.strip() + '\n\n'
         elif "char_persona" in data:
             context = build_pygmalion_style_context(data)
             greeting_field = 'char_greeting'
@@ -456,14 +478,14 @@ def load_character(character, name1, name2, mode):
         if greeting_field in data:
             greeting = data[greeting_field]
 
-        if 'end_of_turn' in data:
-            end_of_turn = data['end_of_turn']
+        if 'turn_template' in data:
+            turn_template = data['turn_template']
 
     else:
         context = shared.settings['context']
         name2 = shared.settings['name2']
         greeting = shared.settings['greeting']
-        end_of_turn = shared.settings['end_of_turn']
+        turn_template = shared.settings['turn_template']
 
     if mode != 'instruct':
         shared.history['internal'] = []
@@ -479,7 +501,7 @@ def load_character(character, name1, name2, mode):
             # Create .json log files since they don't already exist
             save_history(mode)
 
-    return name1, name2, picture, greeting, context, end_of_turn, chat_html_wrapper(shared.history['visible'], name1, name2, mode)
+    return name1, name2, picture, greeting, context, repr(turn_template)[1:-1], chat_html_wrapper(shared.history['visible'], name1, name2, mode)
 
 
 def upload_character(json_file, img, tavern=False):

modules/shared.py

@@ -39,7 +39,7 @@ settings = {
     'name2': 'Assistant',
     'context': 'This is a conversation with your Assistant. The Assistant is very helpful and is eager to chat with you and answer your questions.',
     'greeting': '',
-    'end_of_turn': '',
+    'turn_template': '',
     'custom_stopping_strings': '',
     'stop_at_newline': False,
     'add_bos_token': True,

modules/ui.py

@@ -35,7 +35,7 @@ def list_model_elements():
 def list_interface_input_elements(chat=False):
     elements = ['max_new_tokens', 'seed', 'temperature', 'top_p', 'top_k', 'typical_p', 'repetition_penalty', 'encoder_repetition_penalty', 'no_repeat_ngram_size', 'min_length', 'do_sample', 'penalty_alpha', 'num_beams', 'length_penalty', 'early_stopping', 'add_bos_token', 'ban_eos_token', 'truncation_length', 'custom_stopping_strings', 'skip_special_tokens', 'preset_menu']
     if chat:
-        elements += ['name1', 'name2', 'greeting', 'context', 'end_of_turn', 'chat_prompt_size', 'chat_generation_attempts', 'stop_at_newline', 'mode', 'instruction_template', 'character_menu']
+        elements += ['name1', 'name2', 'greeting', 'context', 'turn_template', 'chat_prompt_size', 'chat_generation_attempts', 'stop_at_newline', 'mode', 'instruction_template', 'character_menu']
 
     elements += list_model_elements()
     return elements

server.py

@@ -553,7 +553,7 @@ def create_interface():
                         shared.gradio['name2'] = gr.Textbox(value=shared.settings['name2'], lines=1, label='Character\'s name')
                         shared.gradio['greeting'] = gr.Textbox(value=shared.settings['greeting'], lines=4, label='Greeting')
                         shared.gradio['context'] = gr.Textbox(value=shared.settings['context'], lines=4, label='Context')
-                        shared.gradio['end_of_turn'] = gr.Textbox(value=shared.settings['end_of_turn'], lines=1, label='End of turn string')
+                        shared.gradio['turn_template'] = gr.Textbox(value=shared.settings['turn_template'], lines=1, label='Turn template', info='Used to precisely define the placement of spaces and new line characters in instruction prompts.')
 
                     with gr.Column(scale=1):
                         shared.gradio['character_picture'] = gr.Image(label='Character picture', type='pil')
@@ -778,7 +778,7 @@ def create_interface():
                 chat.redraw_html, reload_inputs, shared.gradio['display'])
 
             shared.gradio['instruction_template'].change(
-                chat.load_character, [shared.gradio[k] for k in ['instruction_template', 'name1', 'name2', 'mode']], [shared.gradio[k] for k in ['name1', 'name2', 'character_picture', 'greeting', 'context', 'end_of_turn', 'display']]).then(
+                chat.load_character, [shared.gradio[k] for k in ['instruction_template', 'name1', 'name2', 'mode']], [shared.gradio[k] for k in ['name1', 'name2', 'character_picture', 'greeting', 'context', 'turn_template', 'display']]).then(
                 chat.redraw_html, reload_inputs, shared.gradio['display'])
 
             shared.gradio['upload_chat_history'].upload(
@@ -791,7 +791,7 @@ def create_interface():
             shared.gradio['Remove last'].click(chat.remove_last_message, [shared.gradio[k] for k in ['name1', 'name2', 'mode']], [shared.gradio['display'], shared.gradio['textbox']], show_progress=False)
             shared.gradio['download_button'].click(lambda x: chat.save_history(x, timestamp=True), shared.gradio['mode'], shared.gradio['download'])
             shared.gradio['Upload character'].click(chat.upload_character, [shared.gradio['upload_json'], shared.gradio['upload_img_bot']], [shared.gradio['character_menu']])
-            shared.gradio['character_menu'].change(chat.load_character, [shared.gradio[k] for k in ['character_menu', 'name1', 'name2', 'mode']], [shared.gradio[k] for k in ['name1', 'name2', 'character_picture', 'greeting', 'context', 'end_of_turn', 'display']])
+            shared.gradio['character_menu'].change(chat.load_character, [shared.gradio[k] for k in ['character_menu', 'name1', 'name2', 'mode']], [shared.gradio[k] for k in ['name1', 'name2', 'character_picture', 'greeting', 'context', 'turn_template', 'display']])
             shared.gradio['upload_img_tavern'].upload(chat.upload_tavern_character, [shared.gradio['upload_img_tavern'], shared.gradio['name1'], shared.gradio['name2']], [shared.gradio['character_menu']])
             shared.gradio['your_picture'].change(chat.upload_your_profile_picture, [shared.gradio[k] for k in ['your_picture', 'name1', 'name2', 'mode']], shared.gradio['display'])
             shared.gradio['interface'].load(None, None, None, _js=f"() => {{{ui.main_js+ui.chat_js}}}")

settings-template.json

@@ -8,7 +8,7 @@
     "name2": "Assistant",
     "context": "This is a conversation with your Assistant. The Assistant is very helpful and is eager to chat with you and answer your questions.",
     "greeting": "",
-    "end_of_turn": "",
+    "turn_template": "",
     "custom_stopping_strings": "",
     "stop_at_newline": false,
     "add_bos_token": true,