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FoxxComz avatar FoxxComz commented on June 22, 2024

here is my code:

from transformers import pipeline
import torch

MAGICODER_PROMPT = """You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions.

@@ Instruction
{instruction}

@@ Response
"""

instruction = "Implement a high-level API for a TODO list application. The API takes as input an operation request and updates the TODO list in place. If the request is invalid, raise an exception."

model_path='/data/MagiCoder'
prompt = MAGICODER_PROMPT.format(instruction=instruction)
generator = pipeline(
    model=model_path,
    task="text-generation",
    torch_dtype=torch.bfloat16,
    device_map="auto",
)
result = generator(prompt, max_length=2048, num_return_sequences=1, temperature=0.0)
print(result[0]["generated_text"])

from magicoder.

UniverseFly avatar UniverseFly commented on June 22, 2024

Thanks for reporting this. Did you also try to update the package as described in the issue you referred to, and could that help?

from magicoder.

FoxxComz avatar FoxxComz commented on June 22, 2024

Thanks for reporting this. Did you also try to update the package as described in the issue you referred to, and could that help?

do u have recomended version of packages that magicoder need?

from magicoder.

UniverseFly avatar UniverseFly commented on June 22, 2024

Yes they are listed in pyproject.toml.

from magicoder.

huiyeruzhou avatar huiyeruzhou commented on June 22, 2024

Hi, I believe this is a common problem for deepseek-based model for I suffered this before. Deepseek is very sensitive to prompt formats. You may want to print the token passed to the model to make sure the <|begin_of_sentence|> is correctly added.

from magicoder.

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