[Bug] Latest Unsloth Cannot Load Local Models. AttributeError: 'NoneType' Object Has No Attribute 'count'

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Introduction

Unsloth is a popular deep learning framework that provides a range of pre-trained models for various tasks. However, users have reported a bug where the latest version of Unsloth cannot load local models, resulting in an AttributeError: 'NoneType' object has no attribute 'count'. In this article, we will delve into the issue, provide a detailed analysis, and offer a solution to resolve the problem.

Understanding the Error

The error occurs when trying to load a local model using the FastLanguageModel.from_pretrained() method. The method takes several parameters, including model_name, which is the path to the local model. However, when the model_name parameter is set to a directory path, the get_model_name() function in the loader_utils.py module attempts to extract the model name from the path. If the model name is not found, the function returns None, which is then passed to the count() method, resulting in the AttributeError.

Analyzing the Code

The get_model_name() function is responsible for extracting the model name from the model_name parameter. The function checks if the model_name is a directory path by counting the number of forward slashes (/) in the path. If the count is 1, the function assumes that the first character of the path is an alphanumeric character and attempts to extract the model name. However, if the model_name is None, the function returns None, which is then passed to the count() method, resulting in the AttributeError.

Solution

To resolve the issue, we need to modify the get_model_name() function to handle the case where the model_name is None. We can do this by adding a simple check to ensure that the model_name is not None before attempting to extract the model name.

def get_model_name(model_name, load_in_4bit):
    if model_name is None:
        return None
    # Rest of the function remains the same

Modified Code

Here is the modified code that includes the fix:

dir='/content/drive/MyDrive/x'
model, tokenizer = FastLanguageModel.from_pretrained(
    model_name = dir,
    load_in_4bit = load_in_4bit,
    dtype = dtype,
    max_seq_length = max_seq_length,          #  ⇠  halve flops vs. 2‑k tokens
    trust_remote_code = True,
    local_files_only = True
)

Conclusion

In conclusion, the bug in the latest Unsloth version is caused by the get_model_name() function attempting to extract the model name from a None value. By modifying the function to handle this case, we can resolve the issue and load local models successfully. We hope that this article has provided a clear understanding of the problem and a solution to resolve it.

Additional Information

  • The bug is specific to the latest version of Unsloth and may not affect earlier versions.
  • The issue is caused by a change in the get_model_name() function that attempts extract the model name from a None value.
  • The solution involves modifying the get_model_name() function to handle the case where the model_name is None.

Related Issues

Commit Message

Fix get_model_name() function to handle None value

API Documentation

get_model_name()

  • Description: Extracts the model name from the model_name parameter.
  • Parameters:
    • model_name: The path to the local model.
    • load_in_4bit: A boolean indicating whether to load the model in 4-bit precision.
  • Returns: The extracted model name or None if the model_name is None.

FastLanguageModel.from_pretrained()

  • Description: Loads a pre-trained language model from the specified path.
  • Parameters:
    • model_name: The path to the local model.
    • load_in_4bit: A boolean indicating whether to load the model in 4-bit precision.
    • dtype: The data type of the model.
    • max_seq_length: The maximum sequence length of the model.
    • trust_remote_code: A boolean indicating whether to trust remote code.
    • local_files_only: A boolean indicating whether to load only local files.
  • Returns: The loaded language model and tokenizer.
    Q&A: Unsloth Bug - Latest Unsloth Cannot Load Local Models - AttributeError: 'NoneType' Object Has No Attribute 'count' ===========================================================

Q: What is the Unsloth bug that is causing the error?

A: The Unsloth bug is caused by a change in the get_model_name() function that attempts to extract the model name from a None value. This results in an AttributeError: 'NoneType' object has no attribute 'count'.

Q: What is the get_model_name() function and why is it causing the error?

A: The get_model_name() function is responsible for extracting the model name from the model_name parameter. However, when the model_name is None, the function returns None, which is then passed to the count() method, resulting in the AttributeError.

Q: How can I resolve the issue and load local models successfully?

A: To resolve the issue, you need to modify the get_model_name() function to handle the case where the model_name is None. You can do this by adding a simple check to ensure that the model_name is not None before attempting to extract the model name.

Q: What is the modified code that includes the fix?

A: Here is the modified code that includes the fix:

def get_model_name(model_name, load_in_4bit):
    if model_name is None:
        return None
    # Rest of the function remains the same

Q: Is the bug specific to the latest version of Unsloth?

A: Yes, the bug is specific to the latest version of Unsloth and may not affect earlier versions.

Q: What is the solution to resolve the issue?

A: The solution involves modifying the get_model_name() function to handle the case where the model_name is None. This can be done by adding a simple check to ensure that the model_name is not None before attempting to extract the model name.

Q: Are there any related issues or pull requests that can provide more information?

A: Yes, there are related issues and pull requests that can provide more information. You can find them on the Unsloth GitHub repository.

Q: What is the commit message for the fix?

A: The commit message for the fix is: Fix get_model_name() function to handle None value

Q: What is the API documentation for the get_model_name() function?

A: Here is the API documentation for the get_model_name() function:

get_model_name()

  • Description: Extracts the model name from the model_name parameter.
  • Parameters:
    • model_name: The path to the local model.
    • load_in_4bit: A boolean indicating whether to load the model in 4-bit precision.
  • Returns: The extracted model name or None if the model_name is None.

Q: What is the API documentation for the FastLanguageModel.from_pretrained() function?

: Here is the API documentation for the FastLanguageModel.from_pretrained() function:

FastLanguageModel.from_pretrained()

  • Description: Loads a pre-trained language model from the specified path.
  • Parameters:
    • model_name: The path to the local model.
    • load_in_4bit: A boolean indicating whether to load the model in 4-bit precision.
    • dtype: The data type of the model.
    • max_seq_length: The maximum sequence length of the model.
    • trust_remote_code: A boolean indicating whether to trust remote code.
    • local_files_only: A boolean indicating whether to load only local files.
  • Returns: The loaded language model and tokenizer.