Loading checkpoint shards: 100%|โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ| 2/2 [00:14<00:00, 7.15s/it]
Some weights of the model checkpoint at stllm/output/instructblipbase_stllm_conversation/checkpoint-5490/ were not used when initializing STLLMForCausalLM: ['model.stllm_model.Qformer.bert.encoder.layer.4.attention.output.LayerNorm.weight',
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- This IS expected if you are initializing STLLMForCausalLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing STLLMForCausalLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
/media/sdb/long/conda/envs/stllm/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
warnings.warn(
Loading VIT
Loading VIT Done
Loading Q-Former pretrained/instruct_blip_vicuna7b_trimmed.pth
Loading Q-Former Done