AI/gpt4all
1
0
Fork 0
mirror of https://github.com/nomic-ai/gpt4all.git synced 2024-10-01 01:06:10 -04:00
Code Issues Packages Projects Releases Wiki Activity

one funcion to append .bin suffix

Browse Source
This commit is contained in:
Konstantin Gukov 2023-05-26 09:58:00 +02:00 committed by Richard Guo
parent 659244f0a2
commit a6f3e94458
1 changed files with 29 additions and 24 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

53
gpt4all-bindings/python/gpt4all/gpt4all.py
View File

@ -14,6 +14,7 @@ from . import pyllmodel
# TODO: move to config
DEFAULT_MODEL_DIRECTORY = os.path.join(str(Path.home()), ".cache", "gpt4all").replace("\\", "\\\\")
class GPT4All():
"""Python API for retrieving and interacting with GPT4All models.
@ -58,7 +59,8 @@ class GPT4All():
return requests.get("https://gpt4all.io/models/models.json").json()
@staticmethod
def retrieve_model(model_name: str, model_path: str = None, allow_download: bool = True, verbose: bool = True) -> str:
def retrieve_model(model_name: str, model_path: str = None, allow_download: bool = True,
verbose: bool = True) -> str:
"""
Find model file, and if it doesn't exist, download the model.
@ -72,10 +74,8 @@ class GPT4All():
Returns:
Model file destination.
"""
model_filename = model_name
if not model_filename.endswith(".bin"):
model_filename += ".bin"
model_filename = append_bin_suffix_if_missing(model_name)
# Validate download directory
if model_path is None:
@ -123,7 +123,7 @@ class GPT4All():
def get_download_url(model_filename):
return f"https://gpt4all.io/models/{model_filename}"
# Download model
download_path = os.path.join(model_path, model_filename).replace("\\", "\\\\")
download_url = get_download_url(model_filename)
@ -171,11 +171,11 @@ class GPT4All():
Raw string of generated model response.
"""
return self.model.generate(prompt, streaming=streaming, **generate_kwargs)
def chat_completion(self,
messages: List[Dict],
default_prompt_header: bool = True,
default_prompt_footer: bool = True,
def chat_completion(self,
messages: List[Dict],
default_prompt_header: bool = True,
default_prompt_footer: bool = True,
verbose: bool = True,
streaming: bool = True,
**generate_kwargs) -> dict:
@ -205,10 +205,10 @@ class GPT4All():
"choices": List of message dictionary where "content" is generated response and "role" is set
as "assistant". Right now, only one choice is returned by model.
"""
full_prompt = self._build_prompt(messages,
default_prompt_header=default_prompt_header,
default_prompt_footer=default_prompt_footer)
full_prompt = self._build_prompt(messages,
default_prompt_header=default_prompt_header,
default_prompt_footer=default_prompt_footer)
if verbose:
print(full_prompt)
@ -219,9 +219,9 @@ class GPT4All():
response_dict = {
"model": self.model.model_name,
"usage": {"prompt_tokens": len(full_prompt),
"completion_tokens": len(response),
"total_tokens" : len(full_prompt) + len(response)},
"usage": {"prompt_tokens": len(full_prompt),
"completion_tokens": len(response),
"total_tokens": len(full_prompt) + len(response)},
"choices": [
{
"message": {
@ -233,10 +233,10 @@ class GPT4All():
}
return response_dict
@staticmethod
def _build_prompt(messages: List[Dict],
default_prompt_header=True,
def _build_prompt(messages: List[Dict],
default_prompt_header=True,
default_prompt_footer=False) -> str:
# Helper method to format messages into prompt.
full_prompt = ""
@ -278,14 +278,13 @@ class GPT4All():
return pyllmodel.MPTModel()
else:
raise ValueError(f"No corresponding model for model_type: {model_type}")
@staticmethod
def get_model_from_name(model_name: str) -> pyllmodel.LLModel:
# This needs to be updated for each new model
# NOTE: We are doing this preprocessing a lot, maybe there's a better way to organize
if ".bin" not in model_name:
model_name += ".bin"
model_name = append_bin_suffix_if_missing(model_name)
GPTJ_MODELS = [
"ggml-gpt4all-j-v1.3-groovy.bin",
@ -320,3 +319,9 @@ class GPT4All():
f"If this is a custom model, make sure to specify a valid model_type.\n")
raise ValueError(err_msg)
def append_bin_suffix_if_missing(model_name):
if not model_name.endswith(".bin"):
model_name += ".bin"
return model_name