Release InternVL 2.0 pretrained models
Browse files
InternVL2-26B-Pretrain/configuration_internvl_chat.py
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@@ -39,11 +39,11 @@ class InternVLChatConfig(PretrainedConfig):
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super().__init__(**kwargs)
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if vision_config is None:
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-
vision_config = {}
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logger.info('vision_config is None. Initializing the InternVisionConfig with default values.')
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if llm_config is None:
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llm_config = {}
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logger.info('llm_config is None. Initializing the LlamaConfig config with default values (`LlamaConfig`).')
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self.vision_config = InternVisionConfig(**vision_config)
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super().__init__(**kwargs)
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if vision_config is None:
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vision_config = {'architectures': ['InternVisionModel']}
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logger.info('vision_config is None. Initializing the InternVisionConfig with default values.')
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if llm_config is None:
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llm_config = {'architectures': ['InternLM2ForCausalLM']}
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logger.info('llm_config is None. Initializing the LlamaConfig config with default values (`LlamaConfig`).')
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self.vision_config = InternVisionConfig(**vision_config)
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InternVL2-26B-Pretrain/eval_llm_benchmark.log
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InternVL2-26B-Pretrain/modeling_intern_vit.py
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@@ -3,6 +3,7 @@
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# Copyright (c) 2024 OpenGVLab
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# Licensed under The MIT License [see LICENSE for details]
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# --------------------------------------------------------
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from typing import Optional, Tuple, Union
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import torch
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# Copyright (c) 2024 OpenGVLab
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# Licensed under The MIT License [see LICENSE for details]
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# --------------------------------------------------------
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+
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from typing import Optional, Tuple, Union
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import torch
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