GPT4All callup failure

[gillsgills]

System Info

Colab environment
LangChain version: 0.0.152

Who can help?

No response

Information

• The official example notebooks/scripts
• My own modified scripts

Related Components

• LLMs/Chat Models
• Embedding Models
• Prompts / Prompt Templates / Prompt Selectors
• Output Parsers
• Document Loaders
• Vector Stores / Retrievers
• Memory
• Agents / Agent Executors
• Tools / Toolkits
• Chains
• Callbacks/Tracing
• Async

Reproduction

Please follow the tutorial here and run the code below to reproduce

template = """Question: {question}

Answer: Let's answer in two sentence while being funny."""

prompt = PromptTemplate(template=template, input_variables=["question"])

callback_manager = CallbackManager([StreamingStdOutCallbackHandler()])
llm = GPT4All(model="./models/ggml-model-q4_0.bin", callback_manager=callback_manager, verbose=True)
llm_chain = LLMChain(prompt=prompt, llm=llm)

question = "What happens when it rains somewhere?"
llm_chain.run(question)

Expected behavior

TypeError: GPT4All.generate() got an unexpected keyword argument 'n_ctx'

[dosubot]

🤖

Hello,

Thank you for reaching out and providing detailed information about the issue you're facing. The error message "TypeError: GPT4All.generate() got an unexpected keyword argument 'n_ctx'" indicates that the 'n_ctx' argument is not expected by the GPT4All.generate() method.

Based on the context provided, it seems that there have been similar issues in the past. One of the solutions suggested was to downgrade the pygpt4all package to version 1.0.1 using the command pip install 'pygpt4all==v1.0.1' --force-reinstall. This should resolve the TypeError encountered when using the GPT4All model. You can find more details about this solution in this issue.

Another solution was to downgrade the package versions to pydantic==1.10.10, gpt4all==0.3.4, and langchain==0.0.197. Alternatively, upgrading to Python version > 3.10 can also resolve the problem as the latest versions of langchain and gpt4all work perfectly fine on Python > 3.10 without hitting the validationErrors on pydantic. You can find more details about this solution in this issue.

Please try these solutions and let us know if the issue persists. We're here to help!

Best,
Dosu

Sources

• Unable to use gpt4all model
• pydantic.error_wrappers.ValidationError: 1 validation error for GPT4All
• libs/langchain/langchain/llms/gpt4all.py
• docs/extras/integrations/providers/gpt4all.mdx

---

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

[dosubot]

Hi, @gillsgills

I'm helping the LangChain team manage their backlog and am marking this issue as stale. The issue you raised was about a TypeError encountered when running the GPT4All model using a specific code snippet in a Colab environment. It looks like the issue has been resolved by downgrading the pygpt4all package to version 1.0.1 or downgrading other related package versions, as suggested by me.

Could you please confirm if this issue is still relevant to the latest version of the LangChain repository? If it is, please let the LangChain team know by commenting on the issue. Otherwise, feel free to close the issue yourself, or it will be automatically closed in 7 days. Thank you!