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added 128k models

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AlexHTW
2023-11-06 23:50:11 +01:00
parent 66952a2591
commit 274e784e8e
1 changed files with 7 additions and 2 deletions
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9
bot/openai_helper.py
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@@ -22,7 +22,8 @@ GPT_3_MODELS = ("gpt-3.5-turbo", "gpt-3.5-turbo-0301", "gpt-3.5-turbo-0613")
GPT_3_16K_MODELS = ("gpt-3.5-turbo-16k", "gpt-3.5-turbo-16k-0613") GPT_3_16K_MODELS = ("gpt-3.5-turbo-16k", "gpt-3.5-turbo-16k-0613")
GPT_4_MODELS = ("gpt-4", "gpt-4-0314", "gpt-4-0613") GPT_4_MODELS = ("gpt-4", "gpt-4-0314", "gpt-4-0613")
GPT_4_32K_MODELS = ("gpt-4-32k", "gpt-4-32k-0314", "gpt-4-32k-0613") GPT_4_32K_MODELS = ("gpt-4-32k", "gpt-4-32k-0314", "gpt-4-32k-0613")
GPT_ALL_MODELS = GPT_3_MODELS + GPT_3_16K_MODELS + GPT_4_MODELS + GPT_4_32K_MODELS GPT_4_128K_MODELS = ("gpt-4-1106-preview", "gpt-4-vision-preview")
GPT_ALL_MODELS = GPT_3_MODELS + GPT_3_16K_MODELS + GPT_4_MODELS + GPT_4_32K_MODELS + GPT_4_128K_MODELS
def default_max_tokens(model: str) -> int: def default_max_tokens(model: str) -> int:
@@ -40,6 +41,8 @@ def default_max_tokens(model: str) -> int:
return base * 4 return base * 4
elif model in GPT_4_32K_MODELS: elif model in GPT_4_32K_MODELS:
return base * 8 return base * 8
elif model in GPT_4_128K_MODELS:
return base * 100
def are_functions_available(model: str) -> bool: def are_functions_available(model: str) -> bool:
@@ -50,7 +53,7 @@ def are_functions_available(model: str) -> bool:
if model in ("gpt-3.5-turbo-0301", "gpt-4-0314", "gpt-4-32k-0314"): if model in ("gpt-3.5-turbo-0301", "gpt-4-0314", "gpt-4-32k-0314"):
return False return False
# Stable models will be updated to support functions on June 27, 2023 # Stable models will be updated to support functions on June 27, 2023
if model in ("gpt-3.5-turbo", "gpt-4", "gpt-4-32k"): if model in ("gpt-3.5-turbo", "gpt-4", "gpt-4-32k","gpt-4-1106-preview", "gpt-4-vision-preview"):
return datetime.date.today() > datetime.date(2023, 6, 27) return datetime.date.today() > datetime.date(2023, 6, 27)
return True return True
@@ -411,6 +414,8 @@ class OpenAIHelper:
return base * 2 return base * 2
if self.config['model'] in GPT_4_32K_MODELS: if self.config['model'] in GPT_4_32K_MODELS:
return base * 8 return base * 8
if self.config['model'] in GPT_4_128K_MODELS:
return base * 100
raise NotImplementedError( raise NotImplementedError(
f"Max tokens for model {self.config['model']} is not implemented yet." f"Max tokens for model {self.config['model']} is not implemented yet."
) )