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LFM2-VL-3B-4bit

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lfm2_vl
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LFM2-VL-3B-4bit
File size: 3,299 Bytes
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{
    "architectures": [
        "Lfm2VlForConditionalGeneration"
    ],
    "do_image_splitting": true,
    "downsample_factor": 2,
    "dtype": "bfloat16",
    "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_type": "lfm2_vl",
    "projector_bias": true,
    "projector_hidden_act": "gelu",
    "projector_hidden_size": 2560,
    "quantization": {
        "group_size": 64,
        "bits": 4,
        "mode": "affine"
    },
    "quantization_config": {
        "group_size": 64,
        "bits": 4,
        "mode": "affine"
    },
    "text_config": {
        "_name_or_path": "LiquidAI/LFM2-2.6B",
        "architectures": [
            "Lfm2ForCausalLM"
        ],
        "block_auto_adjust_ff_dim": false,
        "block_dim": 2048,
        "block_ff_dim": 10752,
        "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,
        "conv_L_cache": 3,
        "conv_bias": false,
        "conv_dim": 2048,
        "conv_dim_out": 2048,
        "conv_use_xavier_init": true,
        "dtype": "bfloat16",
        "eos_token_id": 7,
        "hidden_size": 2048,
        "initializer_range": 0.02,
        "intermediate_size": 10752,
        "layer_types": [
            "conv",
            "conv",
            "full_attention",
            "conv",
            "conv",
            "full_attention",
            "conv",
            "conv",
            "conv",
            "full_attention",
            "conv",
            "conv",
            "conv",
            "full_attention",
            "conv",
            "conv",
            "conv",
            "full_attention",
            "conv",
            "conv",
            "conv",
            "full_attention",
            "conv",
            "conv",
            "full_attention",
            "conv",
            "conv",
            "full_attention",
            "conv",
            "conv"
        ],
        "max_position_embeddings": 128000,
        "model_type": "lfm2",
        "norm_eps": 1e-05,
        "num_attention_heads": 32,
        "num_heads": 32,
        "num_hidden_layers": 30,
        "num_key_value_heads": 8,
        "rope_parameters": {
            "rope_theta": 1000000.0,
            "rope_type": "default"
        },
        "rope_theta": 1000000.0,
        "theta": 1000000.0,
        "tie_embedding": true,
        "use_cache": true,
        "use_pos_enc": true,
        "vocab_size": 65536
    },
    "tile_size": 512,
    "transformers_version": "4.57.1",
    "use_image_special_tokens": true,
    "use_thumbnail": true,
    "vision_config": {
        "attention_dropout": 0.0,
        "dtype": "bfloat16",
        "hidden_act": "gelu_pytorch_tanh",
        "hidden_size": 1152,
        "intermediate_size": 4304,
        "layer_norm_eps": 1e-06,
        "model_type": "siglip2_vision_model",
        "num_attention_heads": 16,
        "num_channels": 3,
        "num_hidden_layers": 27,
        "num_patches": 256,
        "patch_size": 16,
        "vision_use_head": false
    }
}