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I am experiencing issues converting the cogvlm model from Hugging Face to MLX format. The process fails due to an unsupported model type. Enhanced logging and documentation on adding new models would be beneficial.
Environment
Operating System:
Python Version:
MLX Version:
Steps to Reproduce
Attempt to convert the cogvlm model with the following command:
Observe the error indicating the model type is unsupported.
Expected Behavior
The conversion process should identify the model type and either convert it successfully or provide detailed reasons why the conversion cannot be performed.
Actual Behavior
The process terminates with an unsupported model type error, without detailed debugging information or guidance on how to resolve or work around the issue.
Possible Solutions
Verbose Logging: Implement more detailed logging during the conversion process to help users diagnose issues related to model compatibility.
Model Support Documentation: Provide detailed guidelines or examples on how to add support for new models in mlx.models, similar to how the llava model support was added (referenced in issue LlaVA in MLX #461).
Thank you for your help. I look forward to broader model compatibility in MLX.
The text was updated successfully, but these errors were encountered:
I am experiencing issues converting the
cogvlm
model from Hugging Face to MLX format. The process fails due to an unsupported model type. Enhanced logging and documentation on adding new models would be beneficial.Environment
Steps to Reproduce
cogvlm
model with the following command:Expected Behavior
The conversion process should identify the model type and either convert it successfully or provide detailed reasons why the conversion cannot be performed.
Actual Behavior
The process terminates with an unsupported model type error, without detailed debugging information or guidance on how to resolve or work around the issue.
Possible Solutions
mlx.models
, similar to how the llava model support was added (referenced in issue LlaVA in MLX #461).Thank you for your help. I look forward to broader model compatibility in MLX.
The text was updated successfully, but these errors were encountered: