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  1. README.md +12 -0
  2. config.json +42 -0
  3. mm_projector.bin +3 -0
  4. trainer_state.json +0 -0
README.md ADDED
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+ ---
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+ inference: false
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+ ---
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+
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+ # Model Card
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+
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+ Bunny is a family of lightweight multimodal models.
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+
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+ Bunny-pretrain-stablelm-2-siglip is the pretrained weights for [bunny-stablelm-2-siglip-lora](https://huggingface.co/BoyaWu10/bunny-stablelm-2-siglip-lora), which leverages StableLM-2 as the language model backbone and SigLIP as the vision encoder.
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+ It is pretrained on LAION-2M.
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+
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+ More details about this model can be found in [GitHub](https://github.com/BAAI-DCAI/Bunny).
config.json ADDED
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+ {
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+ "_name_or_path": "bunny-pretrain-stablelm-2-siglip",
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+ "architectures": [
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+ "StableLMEpochForCausalLM"
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+ ],
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+ "auto_map": {
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+ "AutoConfig": "bunny_stablelm.BunnyStableLMConfig",
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+ "AutoModelForCausalLM": "modeling_stablelm_epoch.StableLMEpochForCausalLM"
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+ },
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+ "bos_token_id": null,
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+ "eos_token_id": 100257,
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+ "freeze_mm_mlp_adapter": false,
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+ "hidden_act": "silu",
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+ "hidden_size": 2048,
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+ "image_aspect_ratio": "square",
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+ "initializer_range": 0.02,
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+ "intermediate_size": 5632,
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+ "max_position_embeddings": 4096,
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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_tower": "google/siglip-so400m-patch14-384",
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+ "model_type": "bunny-stablelm",
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+ "norm_eps": 1e-05,
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+ "num_attention_heads": 32,
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+ "num_heads": 32,
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+ "num_hidden_layers": 24,
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+ "num_key_value_heads": 32,
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+ "rope_pct": 0.25,
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+ "rope_theta": 10000,
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+ "rotary_scaling_factor": 1.0,
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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": "bfloat16",
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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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+ "use_qkv_bias": true,
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+ "vocab_size": 100352
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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 sha256:537299b5730f459f84f325c55ee98a8170acdcd2530077692640349a69e39127
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+ size 13117496
trainer_state.json ADDED
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