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langchain-ai
Unable to use gpt4all model
Hi Team,
I am getting below error while trying to use the gpt4all model, Can someone please advice ?
Error:
File "/home/ubuntu/.local/share/virtualenvs/local-conversational-ai-chatbot-using-gpt4-6TvxabtR/lib/python3.10/site-packages/langchain/llms/gpt4all.py", line 181, in _call
text = self.client.generate(
TypeError: Model.generate() got an unexpected keyword argument 'new_text_callback'
Code:
from langchain import PromptTemplate, LLMChain
from langchain.llms import GPT4All
from langchain.callbacks.base import CallbackManager
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template, input_variables=["question"])
local_path = './models/ggjt-model.bin'
# Callbacks support token-wise streaming
callback_manager = CallbackManager([StreamingStdOutCallbackHandler()])
# Verbose is required to pass to the callback manager
llm = GPT4All(model=local_path, callback_manager=callback_manager, verbose=True)
llm_chain = LLMChain(prompt=prompt, llm=llm)
question = "What NFL team won the Super Bowl in the year Justin Bieber was born?"
llm_chain.run(question)
@npow I am still getting the error. When is the new release be issued? Also, can you add support for the Gpt4all-J model ?
@npow After updating the code and model, stuck with below error:
Error:
Model.__init__() missing 1 required positional argument: 'ggml_model' (type=type_error)
Code:
from langchain import PromptTemplate, LLMChain
from langchain.llms import GPT4All
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template, input_variables=["question"])
local_path = "./models/ggml-gpt4all-l13b-snoozy.bin"
# Callbacks support token-wise streaming
#callbacks = [StreamingStdOutCallbackHandler()]
# Verbose is required to pass to the callback manager
llm = GPT4All(model=local_path, verbose=True)
llm_chain = LLMChain(prompt=prompt, llm=llm)
question = "What NFL team won the Super Bowl in the year Justin Bieber was born?"
llm_chain.run(question)
langchain.__version__
'0.0.157'
Any idea how to fix this ?
Also getting this error, think a new update must have broke it.
Yeah, it looks like pygpt4all has been updated to work in Interactive mode.
I downgraded pygpt4all and the error was resolved.
Code for GPT4ALL-J: `"""Wrapper for the GPT4All-J model.""" from functools import partial from typing import Any, Dict, List, Mapping, Optional, Set
from pydantic import Extra, Field, root_validator
from langchain.callbacks.manager import CallbackManagerForLLMRun from langchain.llms.base import LLM from langchain.llms.utils import enforce_stop_tokens
class GPT4All_J(LLM): r"""Wrapper around GPT4All-J language models.
To use, you should have the ``pygpt4all`` python package installed, the
pre-trained model file, and the model's config information.
Example:
.. code-block:: python
from langchain.llms import GPT4All_J
model = GPT4All_J(model="./models/gpt4all-model.bin")
# Simplest invocation
response = model("Once upon a time, ")
"""
model: str
"""Path to the pre-trained GPT4All model file."""
n_threads: Optional[int] = Field(4, alias="n_threads")
"""Number of threads to use."""
n_predict: Optional[int] = 256
"""The maximum number of tokens to generate."""
temp: Optional[float] = 0.8
"""The temperature to use for sampling."""
top_p: Optional[float] = 0.95
"""The top-p value to use for sampling."""
top_k: Optional[int] = 40
"""The top-k value to use for sampling."""
echo: Optional[bool] = False
"""Whether to echo the prompt."""
stop: Optional[List[str]] = []
"""A list of strings to stop generation when encountered."""
repeat_last_n: Optional[int] = 64
"Last n tokens to penalize"
repeat_penalty: Optional[float] = 1.3
"""The penalty to apply to repeated tokens."""
n_batch: int = Field(1, alias="n_batch")
"""Batch size for prompt processing."""
streaming: bool = False
"""Whether to stream the results or not."""
client: Any = None #: :meta private:
class Config:
"""Configuration for this pydantic object."""
extra = Extra.forbid
@property
def _default_params(self) -> Dict[str, Any]:
"""Get the identifying parameters."""
return {
"seed": self.seed,
"n_predict": self.n_predict,
"n_threads": self.n_threads,
"n_batch": self.n_batch,
"repeat_last_n": self.repeat_last_n,
"repeat_penalty": self.repeat_penalty,
"top_k": self.top_k,
"top_p": self.top_p,
"temp": self.temp,
}
@staticmethod
def _llama_param_names() -> Set[str]:
"""Get the identifying parameters."""
return {}
@root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that the python package exists in the environment."""
try:
from pygpt4all.models.gpt4all_j import GPT4All_J as GPT4AllModel
llama_keys = cls._llama_param_names()
model_kwargs = {k: v for k, v in values.items() if k in llama_keys}
values["client"] = GPT4AllModel(
model_path=values["model"],
**model_kwargs,
)
except ImportError:
raise ValueError(
"Could not import pygpt4all python package. "
"Please install it with `pip install pygpt4all`."
)
return values
@property
def _identifying_params(self) -> Mapping[str, Any]:
"""Get the identifying parameters."""
return {
"model": self.model,
**self._default_params,
**{
k: v
for k, v in self.__dict__.items()
if k in GPT4All_J._llama_param_names()
},
}
@property
def _llm_type(self) -> str:
"""Return the type of llm."""
return "gpt4all"
def _call(
self,
prompt: str,
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
) -> str:
r"""Call out to GPT4All's generate method.
Args:
prompt: The prompt to pass into the model.
stop: A list of strings to stop generation when encountered.
Returns:
The string generated by the model.
Example:
.. code-block:: python
prompt = "Once upon a time, "
response = model(prompt, n_predict=55)
"""
if run_manager:
text_callback = partial(run_manager.on_llm_new_token, verbose=self.verbose)
# modify self.client.generate self.client.cpp_generate
text = self.client.cpp_generate(
prompt,
new_text_callback=text_callback
)
else:
text = self.client.generate(prompt)
if stop is not None:
text = enforce_stop_tokens(text, stop)
return text
Run LLMChain
from langchain import PromptTemplate, LLMChain from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template, input_variables=["question"])
callbacks = [StreamingStdOutCallbackHandler()] llm = GPT4All_J(model='./ggml-gpt4all-j-v1.3-groovy.bin', callbacks=callbacks, verbose=True) llm_chain = LLMChain(prompt=prompt, llm=llm) question = "What NFL team won the Super Bowl in the year Justin Bieber was born?" llm_chain.run(question) `
As above, I downgraded pygpt4all and it now works:
pip install 'pygpt4all==v1.0.1' --force-reinstall
@paulroberttaylor does it work with GPT4all-J? or is it not supported yet ?
@paulroberttaylor I did that and I no longer get errors but running the chain now takes ages, I have been waiting 15 minutes and nothing came out. Using Gpt4all directly from pygpt4all is much quicker so it is not hardware problem (I'm running it on google collab)
llm_chain = LLMChain(prompt=prompt, llm=llm) question = "What NFL team won the Super Bowl in the year Justin Bieber was born?" llm_chain.run(question)
Do you have any idea what the issue is now?
I'm running locally, but the reply started instantly for me.
Maybe Collab kernel needs to be restarted if it isn't a new one?
Was out and about when I wrote my ealier post. This is the code I used:
`from langchain import PromptTemplate, LLMChain from langchain.llms import GPT4All from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler #from pygpt4all import GPT4All
template = """Question: {question}
Answer: """
prompt = PromptTemplate(template=template, input_variables=["question"])
local_path = './models/ggml-gpt4all-l13b-snoozy.bin' callbacks = [StreamingStdOutCallbackHandler()] llm = GPT4All(model=local_path, callbacks=callbacks, verbose=True) llm_chain = LLMChain(prompt=prompt, llm=llm)
print(llm_chain.run("What NFL team won the Super Bowl in the year Justin Bieber was born?"))`
And the answer it gave:
` Question: What NFL team won the Super Bowl in the year Justin Bieber was born?
Answer: The New York Giants (Superbowl XLVI)`
@vowelparrot I created pull request to solve this issue and add support for GPT4All_J if you have a time to review it: https://github.com/hwchase17/langchain/pull/4131
I'll review today. Thanks for your patience everyone - lots of changes in dependent libs!
I still have this problem in my environment. Can someone please advise me on this?
Error:
1 validation error for GPT4All
__root__
Model.__init__() missing 1 required positional argument: 'ggml_model' (type=type_error)
File "/home/***/***/GPT4ALL/main_gpt4all_lang.py", line 15, in <module>
llm = GPT4All(model=local_path, callbacks=callbacks, verbose=True)
pydantic.error_wrappers.ValidationError: 1 validation error for GPT4All
__root__
Model.__init__() missing 1 required positional argument: 'ggml_model' (type=type_error)
Code:
from langchain import PromptTemplate, LLMChain
from langchain.llms import GPT4All
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template, input_variables=["question"])
local_path = './GPT4ALL/models/ggml-model-q4_0.bin'
callbacks = [StreamingStdOutCallbackHandler()]
llm = GPT4All(model=local_path, callbacks=callbacks, verbose=True)
llm_chain = LLMChain(prompt=prompt, llm=llm)
question = "What NFL team won the Super Bowl in the year Justin Bieber was born?"
llm_chain.run(question)
langchain.version '0.0.165' pygpt4all 1.1.0
@npow After updating the code and model, stuck with below error:
Error:
Model.__init__() missing 1 required positional argument: 'ggml_model' (type=type_error)Code:
from langchain import PromptTemplate, LLMChain from langchain.llms import GPT4All from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler template = """Question: {question} Answer: Let's think step by step.""" prompt = PromptTemplate(template=template, input_variables=["question"]) local_path = "./models/ggml-gpt4all-l13b-snoozy.bin" # Callbacks support token-wise streaming #callbacks = [StreamingStdOutCallbackHandler()] # Verbose is required to pass to the callback manager llm = GPT4All(model=local_path, verbose=True) llm_chain = LLMChain(prompt=prompt, llm=llm) question = "What NFL team won the Super Bowl in the year Justin Bieber was born?" llm_chain.run(question)langchain.__version__ '0.0.157'Any idea how to fix this ?
gpt4all moved repo with python bindings in their main repo these imports should be changed to gpt4all (and mentioning in the comments as well) pygpt4all is still alive tho...
@Chae4ek Thank you for your comment. I don't have a deep understanding of LLM and LangChain yet, but just rewriting "pygpt4all" as "gpt4all" won't work, right? (because it calls itself). What would be the best solution?
Sorry for the elementary question.
Thanks for raising this issue, everyone. The GPT4All "official" bindings have changed three times in as many weeks - I'd be happy to review a PR updating to the imports to whatever is being used now
I tried it in my environment and it worked fine. Thanks for your quick response.
I got it to work by downgrading gpt4all to version 0.3.6 then the bindings match up. Otherwise, 1.0.1 for instance gpt4all does not work and throws the n_ctx error.
pip install 'pygpt4all==v1.0.1' --force-reinstall
Hi there everyone. Sorry for the total noob question. When I run this, it uninstalls a huge pile of stuff and then halts some part through the installation and says it can't go further because it wants pandas version between 1 and 2.0, and I have 2.0.3. Now I've basically broken all the dependencies as a result. Does someone here have a "requirements.txt" file that I can reliably run and install all the dependencies in one batch?
Oh, and it also still complains about the LLM file saying its not valid ... I'm running langchain under privateGPT.py (also on github)
I checked the file (groovy.bin) and its md5 is correct at 81a09a0ddf89690372fc296ff7f625af
Any help gratefully received.
Ubuntu Server 22.04.2 LTS, python 3.10.
pip install 'pygpt4all==v1.0.1' --force-reinstall
Thank you! Worked for me, too.
