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python/embed4all: use gguf model, allow passing kwargs/overriding model

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This commit is contained in:
Aaron Miller 2023-10-05 12:09:14 -07:00 committed by Adam Treat
parent 8bb6a6c201
commit a10f3aea5e
1 changed files with 2 additions and 6 deletions
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8
gpt4all-bindings/python/gpt4all/gpt4all.py
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@ -30,17 +30,14 @@ class Embed4All:
Python class that handles embeddings for GPT4All.
"""
def __init__(
self,
n_threads: Optional[int] = None,
):
def __init__(self, model_name: Optional[str] = None, n_threads: Optional[int] = None, **kwargs):
"""
Constructor
Args:
n_threads: number of CPU threads used by GPT4All. Default is None, then the number of threads are determined automatically.
"""
self.gpt4all = GPT4All(model_name='ggml-all-MiniLM-L6-v2-f16.bin', n_threads=n_threads)
self.gpt4all = GPT4All(model_name or 'ggml-all-MiniLM-L6-v2-f16.gguf', n_threads=n_threads, **kwargs)
def embed(self, text: str) -> List[float]:
"""
@ -315,7 +312,6 @@ class GPT4All:
callback: pyllmodel.ResponseCallbackType,
output_collector: List[MessageType],
) -> pyllmodel.ResponseCallbackType:
def _callback(token_id: int, response: str) -> bool:
nonlocal callback, output_collector