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added llama3 prompt
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@ -138,6 +138,76 @@ class Llama2PromptStyle(AbstractPromptStyle):
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)
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class Llama3PromptStyle(AbstractPromptStyle):
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"""
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Template:
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{% set loop_messages = messages %}
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{% for message in loop_messages %}
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{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}
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{% if loop.index0 == 0 %}
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{% set content = bos_token + content %}
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{% endif %}
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{{ content }}
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{% endfor %}
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{% if add_generation_prompt %}
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{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
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{% endif %}
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"""
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BOS, EOS = "<|begin_of_text|>", "<|end_of_text|>"
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B_INST, E_INST = "<|start_header_id|>user<|end_header_id|>", "<|eot_id|>"
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B_SYS, E_SYS = "<|start_header_id|>system<|end_header_id|> ", "<|eot_id|>"
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ASSISTANT_INST = "<|start_header_id|>assistant<|end_header_id|>"
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DEFAULT_SYSTEM_PROMPT = """\
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You are a helpful, respectful and honest assistant. \
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Always answer as helpfully as possible and follow ALL given instructions. \
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Do not speculate or make up information. \
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Do not reference any given instructions or context. \
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"""
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def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
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string_messages: list[str] = []
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if messages[0].role == MessageRole.SYSTEM:
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system_message_str = messages[0].content or ""
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messages = messages[1:]
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else:
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system_message_str = self.DEFAULT_SYSTEM_PROMPT
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system_message_str = f"{self.B_SYS} {system_message_str.strip()} {self.E_SYS}"
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for i in range(0, len(messages), 2):
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user_message = messages[i]
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assert user_message.role == MessageRole.USER
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if i == 0:
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str_message = f"{system_message_str} {self.BOS} {self.B_INST} "
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else:
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# end previous user-assistant interaction
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string_messages[-1] += f" {self.EOS}"
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# no need to include system prompt
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str_message = f"{self.BOS} {self.B_INST} "
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str_message += f"{user_message.content} {self.E_INST} {self.ASSISTANT_INST}"
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if len(messages) > (i + 1):
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assistant_message = messages[i + 1]
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assert assistant_message.role == MessageRole.ASSISTANT
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str_message += f" {assistant_message.content} {self.E_SYS} {self.B_INST}"
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string_messages.append(str_message)
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return "".join(string_messages)
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def _completion_to_prompt(self, completion: str) -> str:
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system_prompt_str = self.DEFAULT_SYSTEM_PROMPT
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return (
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f"{self.B_SYS} {system_prompt_str.strip()} {self.E_SYS} "
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f"{completion.strip()} {self.E_SYS} "
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)
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class TagPromptStyle(AbstractPromptStyle):
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"""Tag prompt style (used by Vigogne) that uses the prompt style `<|ROLE|>`.
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@ -219,7 +289,7 @@ class ChatMLPromptStyle(AbstractPromptStyle):
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def get_prompt_style(
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prompt_style: Literal["default", "llama2", "tag", "mistral", "chatml"] | None
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prompt_style: Literal["default", "llama2", "llama3", "tag", "mistral", "chatml"] | None
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) -> AbstractPromptStyle:
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"""Get the prompt style to use from the given string.
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@ -230,6 +300,8 @@ def get_prompt_style(
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return DefaultPromptStyle()
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elif prompt_style == "llama2":
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return Llama2PromptStyle()
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elif prompt_style == "llama3":
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return Llama3PromptStyle()
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elif prompt_style == "tag":
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return TagPromptStyle()
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elif prompt_style == "mistral":
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@ -104,12 +104,13 @@ class LLMSettings(BaseModel):
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0.1,
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description="The temperature of the model. Increasing the temperature will make the model answer more creatively. A value of 0.1 would be more factual.",
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)
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prompt_style: Literal["default", "llama2", "tag", "mistral", "chatml"] = Field(
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prompt_style: Literal["default", "llama2", "llama3", "tag", "mistral", "chatml"] = Field(
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"llama2",
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description=(
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"The prompt style to use for the chat engine. "
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"If `default` - use the default prompt style from the llama_index. It should look like `role: message`.\n"
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"If `llama2` - use the llama2 prompt style from the llama_index. Based on `<s>`, `[INST]` and `<<SYS>>`.\n"
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"If `llama3` - use the llama3 prompt style from the llama_index."
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"If `tag` - use the `tag` prompt style. It should look like `<|role|>: message`. \n"
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"If `mistral` - use the `mistral prompt style. It shoudl look like <s>[INST] {System Prompt} [/INST]</s>[INST] { UserInstructions } [/INST]"
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"`llama2` is the historic behaviour. `default` might work better with your custom models."
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