Is it possible to create a chatbot from mpt-7b

Hi fellas, I am trying to create a chatbot from mpt-7b here is the code:

import torch
import transformers
from transformers import AutoConfig, AutoTokenizer, AutoModelForCausalLM

model_name = './mpt-7b'
config = AutoConfig.from_pretrained(
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
model.eval() # Evaluation mode is default, but calling it anyway
system_prompt = '''<|im_start|> system
You are am AI assistant
user_message = '''
what is the meaning of life?
fmt_user_message = f'<|im_start|>user {user_message}<|im_end|>\n' 
input_ids = tokenizer(system_prompt + fmt_user_message, return_tensors="pt").input_ids
input_ids =

generate_params = {
    "max_new_tokens": 512, 
    "temperature": 1.0, 
    "top_p": 1.0, 
    "top_k": 50, 
    "use_cache": True, 
    "do_sample": True, 
    "eos_token_id": 0, 
    "pad_token_id": 0

generated_ids = model.generate(input_ids, **generate_params)
output = tokenizer.decode(generated_ids.cpu().tolist()[0], skip_special_tokens=True)

for line in output.split('\n'):

Does this make sense, or should I be using mpt-7b-chat?
I am getting the error:

RuntimeError: CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasGemmStridedBatchedExFix(handle, opa, opb, (int)m, (int)n, (int)k, (void*)&falpha, a, CUDA_R_16BF, (int)lda, stridea, b, CUDA_R_16BF, (int)ldb, strideb, (void*)&fbeta, c, CUDA_R_16BF, (int)ldc, stridec, (int)num_batches, CUDA_R_32F, CUBLAS_GEMM_DEFAULT_TENSOR_OP)

Is this related with the choice of the model?

Thanks in advance :slight_smile:

The answer is ‘yes’, but first the code needs to be debugged. The user questions the LLM retrieves the answer until a stopping condition.