BAAI
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  1. config.json +41 -0
  2. mm_projector.bin +3 -0
  3. trainer_state.json +0 -0
config.json ADDED
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+ {
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+ "_name_or_path": "BAAI/bunny-pretrain-phi-2-siglip",
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+ "architectures": [
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+ "PhiForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 50256,
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+ "embd_pdrop": 0.0,
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+ "eos_token_id": 50256,
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+ "freeze_mm_mlp_adapter": false,
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+ "hidden_act": "gelu_new",
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+ "hidden_size": 2560,
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+ "image_aspect_ratio": "square",
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+ "initializer_range": 0.02,
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+ "intermediate_size": 10240,
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 2048,
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+ "mm_hidden_size": 1152,
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+ "mm_projector_lr": null,
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+ "mm_projector_type": "mlp2x_gelu",
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+ "mm_vision_select_feature": "patch",
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+ "mm_vision_tower": "google/siglip-so400m-patch14-384",
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+ "model_type": "bunny-phi",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "partial_rotary_factor": 0.4,
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+ "pretraining_tp": 1,
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+ "qk_layernorm": false,
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+ "resid_pdrop": 0.1,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "tokenizer_model_max_length": 2048,
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+ "tokenizer_padding_side": "right",
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.36.2",
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+ "tune_mm_mlp_adapter": true,
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+ "use_cache": true,
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+ "use_mm_proj": true,
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+ "vocab_size": 51200
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+ }
mm_projector.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:528be96721288621bf02bae6fd0dc3b5b5a7dc526e238a0fb8fff656925805ef
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+ size 19017784
trainer_state.json ADDED
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