RuntimeError when setting up self hosted model + runhouse integration

[dcavadia]

Im having this bug when trying to setup a model within a lambda cloud running SelfHostedHuggingFaceLLM() after the rh.cluster() function.

`
from langchain.llms import SelfHostedPipeline, SelfHostedHuggingFaceLLM
from langchain import PromptTemplate, LLMChain
import runhouse as rh
gpu = rh.cluster(name="rh-a10", instance_type="A10:1").save()
template = """Question: {question}

Answer: Let's think step by step."""

prompt = PromptTemplate(template=template, input_variables=["question"])
llm = SelfHostedHuggingFaceLLM(model_id="gpt2", hardware=gpu, model_reqs=["pip:./", "transformers", "torch"])
`

I made sure with sky check that the lambda credentials are set, but the error i get within the log is this, which i havent been able to solve.

If i can get any help solving this i would appreciate it.

[dongreenberg]

Being discussed in run-house/runhouse#9, we can close this.

[dosubot]

Hi, @dcavadia! I'm Dosu, and I'm here to help the LangChain team manage their backlog. I wanted to let you know that we are marking this issue as stale.

Based on my understanding of the issue, you encountered a runtime error when setting up a self-hosted model within a lambda cloud running SelfHostedHuggingFaceLLM() after the rh.cluster() function. You provided code snippets and error screenshots, and there was a suggestion from dongreenberg to discuss the issue in another GitHub thread, which you seemed to agree with.

Before we proceed, we would like to confirm if this issue is still relevant to the latest version of the LangChain repository. If it is, please let us know by commenting on this issue. Otherwise, feel free to close the issue yourself, or it will be automatically closed in 7 days.

Thank you for your understanding, and we look forward to hearing from you soon.