Add Emu2 and Emu2_chat #47
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vlmeval/config.py
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| @@ -17,6 +17,11 @@ | |||
| 'llava_v1_7b': 'Please set your local path to LLaVA-7B-v1.1 here, the model weight is obtained by merging LLaVA delta weight based on vicuna-7b-v1.1 in https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md with vicuna-7b-v1.1. ' | |||
| } | |||
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| emu_model_path_map={ | |||
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You can remove this and place the model_map in emu.py, no need to add a model_path_map arg.
vlmeval/config.py
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| @@ -43,6 +48,8 @@ | |||
| 'cogvlm-grounding-generalist':partial(CogVlm, name='cogvlm-grounding-generalist',tokenizer_name ='lmsys/vicuna-7b-v1.5'), | |||
| 'cogvlm-chat':partial(CogVlm, name='cogvlm-chat',tokenizer_name ='lmsys/vicuna-7b-v1.5'), | |||
| 'sharedcaptioner':partial(SharedCaptioner, model_path='Lin-Chen/ShareCaptioner'), | |||
| 'emu2':partial(Emu, name='emu2', model_path_map=emu_model_path_map), | |||
| 'emu_chat':partial(Emu, name='emu_chat', model_path_map=emu_model_path_map), | |||
vlmeval/vlm/emu.py
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| self.kwargs = {'max_length': 128} | ||
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| def generate(self, image_path, prompt, dataset=None): |
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You can use interleave_generate to implement generate, seems they can be formulates to the same form.
vlmeval/vlm/emu.py
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| low_cpu_mem_usage=True, | ||
| trust_remote_code=True).to(device).eval() | ||
| self.model = model | ||
| self.kwargs = {'max_length': 128} |
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Do you mean max_new_tokens? This arg is not used during generation.
By the way, use can pass generation kwargs via **kwargs in __init__, so remember to add them. Besides, remember to use self.kwargs during generation.
kennymckormick
approved these changes
Jan 13, 2024
shan23chen
pushed a commit
to shan23chen/VLMEvalKit
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Oct 3, 2024
* Add Emu2 * update * update * -update * update * update * update * update * update --------- Co-authored-by: llllIlllll <“[email protected]”>
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