从modelscope下载的权重，用给的示例代码做Inference，有的权重好像没有加载上，这个有影响么

[LianghuiGuo]

Some weights of MPLUGOwl2LlamaForCausalLM were not initialized from the model checkpoint at /data/oss_bucket_0/mplug_owl2 and are newly initialized: ['model.visual_abstractor.encoder.layers.1.crossattention.attention.k_pos_embed', 'model.visual_abstractor.encoder.layers.4.crossattention.attention.q_pos_embed', 'model.visual_abstractor.encoder.layers.0.crossattention.attention.k_pos_embed', 'model.visual_abstractor.encoder.layers.4.crossattention.attention.k_pos_embed', 'model.visual_abstractor.encoder.layers.1.crossattention.attention.q_pos_embed', 'model.visual_abstractor.encoder.layers.3.crossattention.attention.q_pos_embed', 'model.visual_abstractor.encoder.layers.3.crossattention.attention.k_pos_embed', 'model.visual_abstractor.encoder.layers.0.crossattention.attention.q_pos_embed', 'model.visual_abstractor.encoder.layers.2.crossattention.attention.q_pos_embed', 'model.visual_abstractor.encoder.layers.5.crossattention.attention.q_pos_embed', 'model.visual_abstractor.encoder.layers.5.crossattention.attention.k_pos_embed', 'model.visual_abstractor.encoder.layers.2.crossattention.attention.k_pos_embed'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.

[MAGAer13]

These parameters are not randomly initialized and not learned during training. So not affect the model's performance.

[LianghuiGuo]

好的 感谢