Liquid-WebSight / config.json
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(Trained with Unsloth)
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{
"architectures": [
"Lfm2VlForConditionalGeneration"
],
"do_image_splitting": true,
"downsample_factor": 2,
"torch_dtype": "float16",
"encoder_patch_size": 16,
"image_token_id": 396,
"max_image_tokens": 256,
"max_pixels_tolerance": 2.0,
"max_tiles": 10,
"min_image_tokens": 64,
"min_tiles": 2,
"model_name": "LiquidAI/LFM2.5-VL-450M",
"model_type": "lfm2_vl",
"pad_token_id": 0,
"projector_bias": true,
"projector_hidden_act": "gelu",
"projector_hidden_size": 2048,
"projector_use_layernorm": false,
"text_config": {
"_name_or_path": "LiquidAI/LFM2-350M",
"architectures": [
"Lfm2ForCausalLM"
],
"block_auto_adjust_ff_dim": true,
"block_dim": 1024,
"block_ffn_dim_multiplier": 1.0,
"block_mlp_init_scale": 1.0,
"block_multiple_of": 256,
"block_norm_eps": 1e-05,
"block_out_init_scale": 1.0,
"block_use_swiglu": true,
"block_use_xavier_init": true,
"bos_token_id": 1,
"conv_L_cache": 3,
"conv_bias": false,
"conv_dim": 1024,
"conv_dim_out": 1024,
"conv_use_xavier_init": true,
"torch_dtype": "float16",
"eos_token_id": 7,
"full_attn_idxs": null,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 6656,
"layer_types": [
"conv",
"conv",
"full_attention",
"conv",
"conv",
"full_attention",
"conv",
"conv",
"full_attention",
"conv",
"full_attention",
"conv",
"full_attention",
"conv",
"full_attention",
"conv"
],
"max_position_embeddings": 128000,
"model_type": "lfm2",
"norm_eps": 1e-05,
"num_attention_heads": 16,
"num_heads": 16,
"num_hidden_layers": 16,
"num_key_value_heads": 8,
"pad_token_id": 0,
"rope_parameters": {
"rope_theta": 1000000.0,
"rope_type": "default"
},
"tie_word_embeddings": true,
"use_cache": true,
"use_pos_enc": true,
"vocab_size": 65536
},
"tie_word_embeddings": true,
"tile_size": 512,
"unsloth_version": "2026.4.4",
"use_cache": false,
"use_image_special_tokens": true,
"use_thumbnail": true,
"vision_config": {
"attention_dropout": 0.0,
"torch_dtype": "float16",
"hidden_act": "gelu_pytorch_tanh",
"hidden_size": 768,
"intermediate_size": 3072,
"layer_norm_eps": 1e-06,
"model_type": "siglip2_vision_model",
"num_attention_heads": 12,
"num_channels": 3,
"num_hidden_layers": 12,
"num_patches": 256,
"patch_size": 16,
"vision_use_head": false
}
}