Tanuki-8B-vision / config.json
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{
"_name_or_path": "hatakeyama-llm-team/Tanuki-8B",
"architectures": [
"LlavaLlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 4096,
"image_aspect_ratio": "square",
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 8192,
"max_sequence_length": 8192,
"mm_hidden_size": 2304,
"mm_projector_type": "mlp2x_gelu",
"mm_vision_select_feature": "patch",
"mm_vision_select_layer": -2,
"mm_vision_tower": "google/siglip-so400m-patch14-384",
"model_type": "llava-jp",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"pad_token_id": 0,
"pretraining_tp": 1,
"repetition_penalty": 1.15,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 500000.0,
"scales": [
1.0,
0.5
],
"tie_word_embeddings": false,
"tokenizer_model_max_length": 8192,
"tokenizer_padding_side": "right",
"torch_dtype": "bfloat16",
"transformers_version": "4.40.2",
"tune_mm_mlp_adapter": false,
"use_cache": false,
"use_mm_proj": true,
"vocab_size": 65024
}