1 validation error for LlamaCpp __root__   Could not load Llama model from path
Labels: name: auto:bug, name: area: models

### Checked other resources

- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a similar question and didn't find it.

### Example Code

I run this in google colab and get error:
```
!pip3 install langchain==0.1.0
!CMAKE_ARGS="-DLLAMA_CUBLAS=on" pip3 install llama-cpp-python==0.2.28
!pip3 install pypdf==3.17.4
!pip3 install gdown==4.7.0
!pip3 install sentence-transformers==2.2.2
!pip3 install chromadb==0.4.18

!wget https://huggingface.co/TheBloke/neural-chat-7B-v3-3-GGUF/resolve/main/neural-chat-7b-v3-3.Q4_K_M.gguf

from langchain.callbacks.manager import CallbackManager
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
from langchain.llms import LlamaCpp

n_gpu_layers = 2  # Metal set to 1 is enough.
n_batch = 512  # Should be between 1 and n_ctx, consider the amount of RAM of your Apple Silicon Chip.
callback_manager = CallbackManager([StreamingStdOutCallbackHandler()])

# Make sure the model path is correct for your system!
llm = LlamaCpp(
    model_path='/content/neural-chat-7b-v3-3.Q4_K_M.gguf',
    n_gpu_layers=n_gpu_layers,
    n_batch=n_batch,
    n_ctx=4096,
    f16_kv=True,  # MUST set to True, otherwise you will run into problem after a couple of calls
    callback_manager=callback_manager,
    verbose=False,
)
```

### Description

I am trying using LlamaCpp with `from langchain.llms import LlamaCpp`.

I run the previous code and I get this error:
```
---------------------------------------------------------------------------
ValidationError                           Traceback (most recent call last)
[<ipython-input-4-a01cc1428fc3>](https://localhost:8080/#) in <cell line: 6>()
      4 
      5 # Make sure the model path is correct for your system!
----> 6 llm = LlamaCpp(
      7     model_path='/content/Merak-7B-v4-model-q4_k_m.gguf',
      8     n_gpu_layers=n_gpu_layers,

1 frames
/usr/local/lib/python3.10/dist-packages/pydantic/main.cpython-310-x86_64-linux-gnu.so in pydantic.main.BaseModel.__init__()

ValidationError: 1 validation error for LlamaCpp
__root__
  Could not load Llama model from path: '/content/neural-chat-7b-v3-3.Q4_K_M.gguf'. Received error fileno (type=value_error)
```

instead of it successfully loaded.

### System Info

```
!apt-get update
!apt-get install neofetch -y
!neofetch
```

This is the result
```
root@182e8520dc9b 
----------------- 
OS: Ubuntu 22.04.3 LTS x86_64 
Host: Google Compute Engine 
Kernel: 6.1.58+ 
Uptime: 14 mins 
Packages: 1301 (dpkg) 
Shell: bash 5.1.16 
Terminal: jupyter-noteboo 
CPU: Intel Xeon (2) @ 2.299GHz 
GPU: NVIDIA Tesla T4 
Memory: 827MiB / 12978MiB 
```

### Related Components

- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Loaders
- [ ] Vector Stores / Retrievers
- [ ] Memory
- [ ] Agents / Agent Executors
- [x] Tools / Toolkits
- [X] Chains
- [ ] Callbacks/Tracing
- [ ] Async