VLLM from langchain.llms 
Labels: name: auto:bug, name: area: models

### System Info

VLLM from langchain gives the below error and stops executing:

code: `python
from langchain.llms import VLLM

llm = VLLM(model="facebook/opt-125m"
           tensor_parallel_size=2,
           trust_remote_code=True,  # mandatory for hf models
           max_new_tokens=128,
           top_k=10,
           top_p=0.95,
           temperature=0.8,
)

print(llm("What is the capital of France ?"))
`
gives the below error when setting tensor_parallel_size=2 and runs successfully if we comment out tensor_parallel_size argument:
error =>
**2023-08-23 08:52:55,683	ERROR services.py:1207 -- Failed to start the dashboard, return code -11
2023-08-23 08:52:55,685	ERROR services.py:1232 -- Error should be written to 'dashboard.log' or 'dashboard.err'. We are printing the last 20 lines for you. See 'https://docs.ray.io/en/master/ray-observability/ray-logging.html#logging-directory-structure' to find where the log file is.
2023-08-23 08:52:55,687	ERROR services.py:1276 -- 
The last 20 lines of /tmp/ray/session_2023-08-23_08-52-52_882632_28/logs/dashboard.log (it contains the error message from the dashboard): 
2023-08-23 08:52:55,607	INFO head.py:242 -- Starting dashboard metrics server on port 44227**

**2023-08-23 08:52:56,847	INFO worker.py:1636 -- Started a local Ray instance.**
![image](https://github.com/langchain-ai/langchain/assets/43183895/1c8bc3f0-8527-4305-a018-fc8a921d2018)

VM Details:
CPU : 4 Core
RAM : 13 GB
GPU: Nvidia T4 *2
Instance : Kaggle Kernal


### Who can help?

_No response_

### Information

- [ ] The official example notebooks/scripts
- [ ] My own modified scripts

### Related Components

- [X] 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

### code: 
`python
from langchain.llms import VLLM

llm = VLLM(model="facebook/opt-125m"
           tensor_parallel_size=2,
           trust_remote_code=True,  # mandatory for hf models
           max_new_tokens=128,
           top_k=10,
           top_p=0.95,
           temperature=0.8,
)

print(llm("What is the capital of France ?"))
`

### On Kaggle Kernal 
VM Details:
CPU : 4 Core
RAM : 13 GB
GPU: Nvidia T4 *2
Instance : Kaggle Kernal

### Expected behavior

2023-08-23 08:52:55,683	ERROR services.py:1207 -- Failed to start the dashboard , return code -11
2023-08-23 08:52:55,685	ERROR services.py:1232 -- Error should be written to 'dashboard.log' or 'dashboard.err'. We are printing the last 20 lines for you. See 'https://docs.ray.io/en/master/ray-observability/ray-logging.html#logging-directory-structure' to find where the log file is.
2023-08-23 08:52:55,687	ERROR services.py:1276 -- 
The last 20 lines of /tmp/ray/session_2023-08-23_08-52-52_882632_28/logs/dashboard.log (it contains the error message from the dashboard): 
2023-08-23 08:52:55,607	INFO head.py:242 -- Starting dashboard metrics server on port 44227

2023-08-23 08:52:56,847	INFO worker.py:1636 -- Started a local Ray instance.

and Cell stops running i.e. execution stops