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add fake_reply parameter to GPT4All.generate() #2935

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add fake_reply parameter to GPT4All.generate() #2935

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3 changes: 2 additions & 1 deletion gpt4all-bindings/python/gpt4all/_pyllmodel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -493,6 +493,7 @@ def prompt_model(
context_erase: float = 0.75,
reset_context: bool = False,
special: bool = False,
fake_reply: str = "",
):
"""
Generate response from model from a prompt.
Expand Down Expand Up @@ -537,7 +538,7 @@ def prompt_model(
True,
self.context,
special,
ctypes.c_char_p(),
ctypes.c_char_p(fake_reply.encode()) if fake_reply else ctypes.c_char_p(),
)


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3 changes: 3 additions & 0 deletions gpt4all-bindings/python/gpt4all/gpt4all.py
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Original file line number Diff line number Diff line change
Expand Up @@ -496,6 +496,7 @@ def generate(
n_batch: int = 8,
n_predict: int | None = None,
streaming: bool = False,
fake_reply: str = "",
callback: ResponseCallbackType = empty_response_callback,
) -> Any:
"""
Expand All @@ -513,6 +514,7 @@ def generate(
n_batch: Number of prompt tokens processed in parallel. Larger values decrease latency but increase resource requirements.
n_predict: Equivalent to max_tokens, exists for backwards compatibility.
streaming: If True, this method will instead return a generator that yields tokens as the model generates them.
fake_reply: A spoofed reply for the given prompt, used as a way to load chat history.
callback: A function with arguments token_id:int and response:str, which receives the tokens from the model as they are generated and stops the generation by returning False.

Returns:
Expand All @@ -529,6 +531,7 @@ def generate(
repeat_last_n=repeat_last_n,
n_batch=n_batch,
n_predict=n_predict if n_predict is not None else max_tokens,
fake_reply=fake_reply,
)

if self._history is not None:
Expand Down