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Yi-VL-6B

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Since transformers now support Llava modeling, would be it possible to make Yi-VL weights compatible with the weights loader?

At this moment there seems to be some issues on loading it using transformers 4.45.2.

from transformers import AutoProcessor, LlavaForConditionalGeneration

LlavaForConditionalGeneration.from_pretrained(
            "01-ai/Yi-VL-6B",
            torch_dtype=torch.bfloat16,
            device_map="auto",
            attn_implementation="flash_attention_2",
        )

Some weights of LlavaForConditionalGeneration were not initialized from the model checkpoint at 01-ai/Yi-VL-6B and are newly initialized:
 ['model.language_model.lm_head.weight', 'model.language_model.model.embed_tokens.weight', 'model.language_model.model.layers.0.input_lay
ernorm.weight', 'model.language_model.model.layers.0.mlp.down_proj.weight', 'model.language_model.model.layers.0.mlp.gate_proj.weight', '
model.language_model.model.layers.0.mlp.up_proj.weight', 'model.language_model.model.layers.0.post_attention_layernorm.weight', 'model.la
nguage_model.model.layers.0.self_attn.k_proj.weight', 'model.language_model.model.layers.0.self_attn.o_proj.weight', 'model.language_mode
l.model.layers.0.self_attn.q_proj.weight', 'model.language_model.model.layers.0.self_attn.v_proj.weight', 'model.language_model.model.lay
ers.1.input_layernorm.weight', 'model.language_model.model.layers.1.mlp.down_proj.weight'....

Also the preprocessor config file is missing which is a small issue.