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:gem: [Feature] New model enabled: nous-mixtral-8-7b
Browse files- apis/chat_api.py +7 -0
- messagers/message_composer.py +51 -8
- networks/message_streamer.py +3 -0
apis/chat_api.py
CHANGED
@@ -44,6 +44,13 @@ class ChatAPIApp:
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"created": 1700000000,
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"owned_by": "mistralai",
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},
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],
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}
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return self.available_models
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"created": 1700000000,
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"owned_by": "mistralai",
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},
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{
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"id": "nous-mixtral-8x7b",
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"description": "[NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO]: https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
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"object": "model",
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"created": 1700000000,
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"owned_by": "NousResearch",
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},
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],
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}
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return self.available_models
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messagers/message_composer.py
CHANGED
@@ -1,5 +1,6 @@
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import re
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from pprint import pprint
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class MessageComposer:
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@@ -8,6 +9,7 @@ class MessageComposer:
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"mixtral-8x7b",
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"mistral-7b",
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"openchat-3.5",
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]
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def __init__(self, model: str = None):
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@@ -15,8 +17,10 @@ class MessageComposer:
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self.model = model
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else:
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self.model = "mixtral-8x7b"
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self.inst_roles = ["user", "system", "inst"]
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self.answer_roles = ["assistant", "bot", "answer"]
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def concat_messages_by_role(self, messages):
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def is_same_role(role1, role2):
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@@ -48,12 +52,22 @@ class MessageComposer:
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def merge(self, messages) -> str:
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# Mistral and Mixtral:
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# <s> [INST] Instruction [/INST] Model answer </s> [INST] Follow-up instruction [/INST]
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# OpenChat:
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# GPT4 Correct User: Hello<|end_of_turn|>GPT4 Correct Assistant: Hi<|end_of_turn|>GPT4 Correct User: How are you today?<|end_of_turn|>GPT4 Correct Assistant:
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-
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self.merged_str = ""
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if self.model in ["mixtral-8x7b", "mistral-7b"]:
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self.cached_str = ""
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for message in self.messages:
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@@ -68,6 +82,19 @@ class MessageComposer:
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self.cached_str = f"[INST] {content} [/INST]"
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if self.cached_str:
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self.merged_str += f"{self.cached_str}"
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elif self.model in ["openchat-3.5"]:
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self.merged_str_list = []
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self.end_of_turn = "<|end_of_turn|>"
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@@ -150,10 +177,21 @@ class MessageComposer:
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self.append_last_instruction_to_messages(
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inst_matches_list, pair_matches_list
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)
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-
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elif self.model in ["openchat-3.5"]:
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pair_pattern = r"GPT4 Correct User:(?P<inst>[\s\S]*?)<\|end_of_turn\|>\s*GPT4 Correct Assistant:(?P<answer>[\s\S]*?)<\|end_of_turn\|>"
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-
# ignore case
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pair_matches = re.finditer(
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pair_pattern, self.merged_str, flags=re.MULTILINE | re.IGNORECASE
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)
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@@ -179,11 +217,13 @@ class MessageComposer:
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if __name__ == "__main__":
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-
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messages = [
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{
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"role": "system",
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-
"content": "You are a LLM developed by OpenAI
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},
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{"role": "user", "content": "Hello, who are you?"},
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{"role": "assistant", "content": "I am a bot."},
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@@ -196,8 +236,11 @@ if __name__ == "__main__":
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# "content": "How many questions have I asked? Please list them.",
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# },
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]
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-
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merged_str = composer.merge(messages)
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-
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pprint(composer.split(merged_str))
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-
#
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import re
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from pprint import pprint
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from utils.logger import logger
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class MessageComposer:
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"mixtral-8x7b",
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"mistral-7b",
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"openchat-3.5",
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"nous-mixtral-8x7b",
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]
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def __init__(self, model: str = None):
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self.model = model
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else:
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self.model = "mixtral-8x7b"
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self.system_roles = ["system"]
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self.inst_roles = ["user", "system", "inst"]
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self.answer_roles = ["assistant", "bot", "answer"]
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self.default_role = "user"
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def concat_messages_by_role(self, messages):
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def is_same_role(role1, role2):
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def merge(self, messages) -> str:
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# Mistral and Mixtral:
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# <s> [INST] Instruction [/INST] Model answer </s> [INST] Follow-up instruction [/INST]
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# OpenChat:
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# GPT4 Correct User: Hello<|end_of_turn|>GPT4 Correct Assistant: Hi<|end_of_turn|>GPT4 Correct User: How are you today?<|end_of_turn|>GPT4 Correct Assistant:
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# Nous Mixtral:
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# <|im_start|>system
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# You are "Hermes 2".<|im_end|>
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# <|im_start|>user
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# Hello, who are you?<|im_end|>
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# <|im_start|>assistant
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# self.messages = self.concat_messages_by_role(messages)
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self.messages = messages
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self.merged_str = ""
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# https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1#instruction-format
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if self.model in ["mixtral-8x7b", "mistral-7b"]:
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self.cached_str = ""
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for message in self.messages:
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self.cached_str = f"[INST] {content} [/INST]"
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if self.cached_str:
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self.merged_str += f"{self.cached_str}"
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# https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO#prompt-format
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elif self.model in ["nous-mixtral-8x7b"]:
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self.merged_str_list = []
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for message in self.messages:
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role = message["role"]
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content = message["content"]
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if role not in ["system", "user", "assistant"]:
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role = self.default_role
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message_line = f"<|im_start|>{role}\n{content}<|im_end|>"
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self.merged_str_list.append(message_line)
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self.merged_str_list.append("<|im_start|>assistant")
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self.merged_str = "\n".join(self.merged_str_list)
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# https://huggingface.co/openchat/openchat-3.5-0106
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elif self.model in ["openchat-3.5"]:
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self.merged_str_list = []
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self.end_of_turn = "<|end_of_turn|>"
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self.append_last_instruction_to_messages(
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inst_matches_list, pair_matches_list
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)
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elif self.model in ["nous-mixtral-8x7b"]:
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# https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO#prompt-format
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# message_pattern = r"<\|im_start\|>(?P<role>system|user|assistant)[\s\n]*(?P<content>[\s\S]*?)<\|im_end\|>"
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message_pattern = r"<\|im_start\|>(?P<role>system|user|assistant)[\s\n]*(?P<content>[\s\S]*?)<\|im_end\|>"
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message_matches = re.finditer(
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message_pattern, self.merged_str, flags=re.MULTILINE | re.IGNORECASE
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)
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message_matches_list = list(message_matches)
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logger.note(f"message_matches_list: {message_matches_list}")
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for match in message_matches_list:
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role = match.group("role")
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content = match.group("content")
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self.messages.append({"role": role, "content": content.strip()})
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elif self.model in ["openchat-3.5"]:
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pair_pattern = r"GPT4 Correct User:(?P<inst>[\s\S]*?)<\|end_of_turn\|>\s*GPT4 Correct Assistant:(?P<answer>[\s\S]*?)<\|end_of_turn\|>"
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pair_matches = re.finditer(
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pair_pattern, self.merged_str, flags=re.MULTILINE | re.IGNORECASE
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)
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if __name__ == "__main__":
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# model = "mixtral-8x7b"
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model = "nous-mixtral-8x7b"
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composer = MessageComposer(model)
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messages = [
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{
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"role": "system",
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"content": "You are a LLM developed by OpenAI.\nYour name is GPT-4.",
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},
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{"role": "user", "content": "Hello, who are you?"},
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{"role": "assistant", "content": "I am a bot."},
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# "content": "How many questions have I asked? Please list them.",
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# },
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]
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logger.note(f"model: {composer.model}")
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merged_str = composer.merge(messages)
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logger.note("merged_str:")
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logger.mesg(merged_str)
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logger.note("splitted messages:")
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pprint(composer.split(merged_str))
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# logger.note("merged merged_str:")
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# logger.mesg(composer.merge(composer.split(merged_str)))
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networks/message_streamer.py
CHANGED
@@ -11,6 +11,7 @@ class MessageStreamer:
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MODEL_MAP = {
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"mixtral-8x7b": "mistralai/Mixtral-8x7B-Instruct-v0.1", # 72.62, fast [Recommended]
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"mistral-7b": "mistralai/Mistral-7B-Instruct-v0.2", # 65.71, fast
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# "openchat-3.5": "openchat/openchat-3.5-1210", # 68.89, fast
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# "zephyr-7b-beta": "HuggingFaceH4/zephyr-7b-beta", # ❌ Too Slow
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# "llama-70b": "meta-llama/Llama-2-70b-chat-hf", # ❌ Require Pro User
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STOP_SEQUENCES_MAP = {
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"mixtral-8x7b": "</s>",
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"mistral-7b": "</s>",
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"openchat-3.5": "<|end_of_turn|>",
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}
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TOKEN_LIMIT_MAP = {
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"mixtral-8x7b": 32768,
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"mistral-7b": 32768,
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"openchat-3.5": 8192,
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}
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TOKEN_RESERVED = 100
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MODEL_MAP = {
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"mixtral-8x7b": "mistralai/Mixtral-8x7B-Instruct-v0.1", # 72.62, fast [Recommended]
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"mistral-7b": "mistralai/Mistral-7B-Instruct-v0.2", # 65.71, fast
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"nous-mixtral-8x7b": "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
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# "openchat-3.5": "openchat/openchat-3.5-1210", # 68.89, fast
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# "zephyr-7b-beta": "HuggingFaceH4/zephyr-7b-beta", # ❌ Too Slow
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# "llama-70b": "meta-llama/Llama-2-70b-chat-hf", # ❌ Require Pro User
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STOP_SEQUENCES_MAP = {
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"mixtral-8x7b": "</s>",
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"mistral-7b": "</s>",
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"nous-mixtral-8x7b": "<|im_end|>",
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"openchat-3.5": "<|end_of_turn|>",
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}
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TOKEN_LIMIT_MAP = {
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"mixtral-8x7b": 32768,
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"mistral-7b": 32768,
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"nous-mixtral-8x7b": 32768,
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"openchat-3.5": 8192,
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}
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TOKEN_RESERVED = 100
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