TheBloke

/

Mistral-7B-Instruct-v0.1-GGUF

like 512

After running this code I am receiving this error. Note: i am running this in a CoLab environment.

from ctransformers import AutoModelForCausalLM

# Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.
llm = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GGUF", model_file="mistral-7b-instruct-v0.1.Q2_K.gguf", model_type="mistral", gpu_layers=50)

---------------------------------------------------------------------------
OSError                                   Traceback (most recent call last)
<ipython-input-7-a38c39cda463> in <cell line: 4>()
      2 
      3 # Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.
----> 4 llm = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GGUF", model_file="mistral-7b-instruct-v0.1.Q2_K.gguf", model_type="mistral", gpu_layers=50)

3 frames
/usr/local/lib/python3.10/dist-packages/ctransformers/hub.py in from_pretrained(cls, model_path_or_repo_id, model_type, model_file, config, lib, local_files_only, revision, hf, **kwargs)
    173             )
    174 
--> 175         llm = LLM(
    176             model_path=model_path,
    177             model_type=model_type,

/usr/local/lib/python3.10/dist-packages/ctransformers/llm.py in __init__(self, model_path, model_type, config, lib)
    244             model_type = "gguf"
    245 
--> 246         self._lib = load_library(lib, gpu=config.gpu_layers > 0)
    247         self._llm = self._lib.ctransformers_llm_create(
    248             model_path.encode(),

/usr/local/lib/python3.10/dist-packages/ctransformers/llm.py in load_library(path, gpu)
    124     if "cuda" in path:
    125         load_cuda()
--> 126     lib = CDLL(path)
    127 
    128     lib.ctransformers_llm_create.argtypes = [

/usr/lib/python3.10/ctypes/__init__.py in __init__(self, name, mode, handle, use_errno, use_last_error, winmode)
    372 
    373         if handle is None:
--> 374             self._handle = _dlopen(self._name, mode)
    375         else:
    376             self._handle = handle

OSError: libcudart.so.12: cannot open shared object file: No such file or directory