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wybert avatar wybert commented on August 10, 2024 1

I believe the error should be fixed with the latest code update. Please ensure that the download model path is set to geochat.

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Murkyy avatar Murkyy commented on August 10, 2024

i just noticed that is is the same bug encountered in #10

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Jinjun58 avatar Jinjun58 commented on August 10, 2024

i change builder.py line 128 :if 'geochat-7b' in model_name.lower():and geochat_arch.py lines 33 self.vision_tower = build_vision_tower(config, delay_load=False),it doesnt work, error like this
RuntimeError: CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasLtMatmulAlgoGetHeuristic( ltHandle, computeDesc.descriptor(), Adesc.descriptor(), Bdesc.descriptor(), Cdesc.descriptor(), Cdesc.descriptor(), preference.descriptor(), 1, &heuristicResult, &returnedResult) . just like yours, adding 2 lines of code, demo worked.

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derowtosky avatar derowtosky commented on August 10, 2024

could you be more specific about"i found a workaround by renaming the model downloaded from HF "llava" (instead of geochat-7B) "?

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Murkyy avatar Murkyy commented on August 10, 2024

could you be more specific about"i found a workaround by renaming the model downloaded from HF "llava" (instead of geochat-7B) "?

the authors are using the llava repository, so there are harcoded strings into the code that require your weights to be named "llava-XXX". when following the demo installation steps, you are downloading weights from HuggingFace named "geochat-7B". thus, renaming these weights is a straightforward solution.

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derowtosky avatar derowtosky commented on August 10, 2024

could you be more specific about"i found a workaround by renaming the model downloaded from HF "llava" (instead of geochat-7B) "?

the authors are using the llava repository, so there are harcoded strings into the code that require your weights to be named "llava-XXX". when following the demo installation steps, you are downloading weights from HuggingFace named "geochat-7B". thus, renaming these weights is a straightforward solution.

Could you please specify the location of that code?

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Murkyy avatar Murkyy commented on August 10, 2024

could you be more specific about"i found a workaround by renaming the model downloaded from HF "llava" (instead of geochat-7B) "?

the authors are using the llava repository, so there are harcoded strings into the code that require your weights to be named "llava-XXX". when following the demo installation steps, you are downloading weights from HuggingFace named "geochat-7B". thus, renaming these weights is a straightforward solution.

Could you please specify the location of that code?

https://github.com/mbzuai-oryx/GeoChat?tab=readme-ov-file#geochat-weights-and-demo

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derowtosky avatar derowtosky commented on August 10, 2024

could you be more specific about"i found a workaround by renaming the model downloaded from HF "llava" (instead of geochat-7B) "?

the authors are using the llava repository, so there are harcoded strings into the code that require your weights to be named "llava-XXX". when following the demo installation steps, you are downloading weights from HuggingFace named "geochat-7B". thus, renaming these weights is a straightforward solution.

Could you please specify the location of that code?

https://github.com/mbzuai-oryx/GeoChat?tab=readme-ov-file#geochat-weights-and-demo

i download those models from https://huggingface.co/MBZUAI/geochat-7B/tree/mainand in my "models_geo" directory, which files from the image do I need to rename?
bd872e150792a9b75bf0824a8f2e7ca

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derowtosky avatar derowtosky commented on August 10, 2024

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KjAeRsTuIsK avatar KjAeRsTuIsK commented on August 10, 2024

Hi @Murkyy, thank you for looking out.
I have updated the code. It should work now without changing the model name. Let me know if you face any other issues.

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HowardChenHao avatar HowardChenHao commented on August 10, 2024
Screenshot 2024-04-22 at 11 31 16

the output is all ,why?

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JYCHUA009 avatar JYCHUA009 commented on August 10, 2024

I still have this error: RuntimeError: Internal: could not parse ModelProto from llava/tokenizer.model after following the workarounds mentioned above. Anyone could kindly advise how to resolve this? thanks!

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