Unable to use LlamCpp from langchain 
Labels: name: auto:bug, name: area: models

### System Info

Here is a native python llama cpp example
```
"""
Ask to generate 4 questions related to a given content
"""
from llama_cpp import Llama
mpath="/home/mac/llama-2-7b-32k-instruct.Q5_K_S.gguf"

# define n_ctx manually to permit larger contexts
LLM = Llama(model_path=mpath, n_ctx=512,verbose=False)
# create a text prompt

context = """
Nous sommes dans les Yvelines
Il fait beau
Nous sommes a quelques km d'un joli lac
le boulanger est sympatique
Il y a également une boucherie
"""
prompt = """
\nYou are a Teacher/ Professor. Your task is to setup
4 questions for an upcoming
    quiz/examination. The questions should be diverse in nature 
   across the document. Restrict the questions to the 

    context  provided. 
 Context is provided below :

   %s


\n\n
""" % context

print(prompt)
# set max_tokens to 0 to remove the response size limit
output = LLM(prompt, max_tokens=512,stop=["INST"])
# display the response
print(output["choices"][0]["text"])
print("---------------")
print(output)
```


and here is the "langchain version"

```
from langchain.llms  import LlamaCpp
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain

prompt_template ="""
\nYou are a Teacher/ Professor. Your task is to setup
4 questions for an upcoming
    quiz/examination. The questions should be diverse in nature 
   across the document. Restrict the questions to the 
    context  provided. 
 Context is provided below :
   {context}

\n\n
""" 


PROMPT = PromptTemplate(
    template=prompt_template, input_variables=["context"])

path_to_ggml_model = "/home/mac/llama-2-7b-32k-instruct.Q5_K_S.gguf"
context = """
Nous sommes dans les Yvelines
Il fait beau
Nous sommes a quelques km d'un joli lac
le boulanger est sympatique
Il y a également une boucherie
"""

llm = LlamaCpp(model_path=path_to_ggml_model,temperature=0.8,verbose=True,echo=True,n_ctx=512)
chain = LLMChain(llm=llm,prompt=PROMPT)
answer = chain.run(context=context,stop="
",max_tokens=512)
print(answer)
```


unfortunately the langchain version does not return anything

I suspect mismatching or defautlt overriden parameters sent to Llama



### Who can help?

_No response_

### Information

- [ ] The official example notebooks/scripts
- [ ] My own modified scripts

### Related Components

- [X] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Loaders
- [ ] Vector Stores / Retrievers
- [ ] Memory
- [ ] Agents / Agent Executors
- [ ] Tools / Toolkits
- [X] Chains
- [ ] Callbacks/Tracing
- [ ] Async

### Reproduction
```

from langchain.llms  import LlamaCpp
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain

prompt_template ="""
\nYou are a Teacher/ Professor. Your task is to setup
4 questions for an upcoming
    quiz/examination. The questions should be diverse in nature 
   across the document. Restrict the questions to the 
    context  provided. 
 Context is provided below :
   {context}

\n\n
""" 


PROMPT = PromptTemplate(
    template=prompt_template, input_variables=["context"])

path_to_ggml_model = "/home/mac/llama-2-7b-32k-instruct.Q5_K_S.gguf"
context = """
Nous sommes dans les Yvelines
Il fait beau
Nous sommes a quelques km d'un joli lac
le boulanger est sympatique
Il y a également une boucherie
"""

# echo : echo prompt

llm = LlamaCpp(model_path=path_to_ggml_model,temperature=0.8,verbose=True,echo=True,n_ctx=512)
chain = LLMChain(llm=llm,prompt=PROMPT)
answer = chain.run(context=context,stop="
",max_tokens=512)
print(answer)
```

### Expected behavior

should answer a quiz similar to this : 

Sure, here are four questions that can be used for an upcoming quiz or examination related to the context provided:



1. What is the name of the lake located nearby?

2. Describe the type of bread sold at the boulanger?

3. How would you describe the personality of the baker?

4. What kind of meat do they sell at the boucherie?