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prithivMLmods
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VIGOR-27B

Image-Text-to-Text
Transformers
Safetensors
English
qwen3_5
text-generation-inference
experimental
mtp
image-classification
VIGOR
VisionGuard
qwen3.8-27B
JSON
content-safety
content-moderation
multimodal
safety-classifier
guardrail
visual-safety
multimodal-content-filter
uncensored
conversational
Model card Files
xet
 Community
VIGOR-27B
File size: 4,756 Bytes
633837d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
    "architectures": [
        "Qwen3_5ForConditionalGeneration"
    ],
    "image_token_id": 248056,
    "language_model_only": false,
    "model_type": "qwen3_5",
    "text_config": {
        "attention_bias": false,
        "attention_dropout": 0.0,
        "attn_output_gate": true,
        "bos_token_id": 248044,
        "torch_dtype": "bfloat16",
        "eos_token_id": 248044,
        "full_attention_interval": 4,
        "head_dim": 256,
        "hidden_act": "silu",
        "hidden_size": 5120,
        "initializer_range": 0.02,
        "intermediate_size": 17408,
        "layer_types": [
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
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            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention",
            "linear_attention",
            "linear_attention",
            "linear_attention",
            "full_attention"
        ],
        "linear_conv_kernel_dim": 4,
        "linear_key_head_dim": 128,
        "linear_num_key_heads": 16,
        "linear_num_value_heads": 48,
        "linear_value_head_dim": 128,
        "mamba_ssm_dtype": "float32",
        "max_position_embeddings": 262144,
        "model_type": "qwen3_5_text",
        "modification_notice": "vigor (vision intelligence and guardrail-oriented reasoning) is a multimodal content classification model that has undergone alignment modification and supervised fine-tuning (sft). it uses a modified standard chat template for transformer-based inference and is based on qwen/qwen3.8-27b (qwen3.8-max: a new bar for coding and cowork). the model follows the same apache 2.0 license, with copyright attributed to the qwen team and alibaba cloud.",
        "mtp_num_hidden_layers": 1,
        "mtp_use_dedicated_embeddings": false,
        "num_attention_heads": 24,
        "num_hidden_layers": 64,
        "num_key_value_heads": 4,
        "output_gate_type": "swish",
        "pad_token_id": null,
        "partial_rotary_factor": 0.25,
        "rms_norm_eps": 1e-06,
        "rope_parameters": {
            "mrope_interleaved": true,
            "mrope_section": [
                11,
                11,
                10
            ],
            "partial_rotary_factor": 0.25,
            "rope_theta": 10000000,
            "rope_type": "default"
        },
        "tie_word_embeddings": false,
        "use_cache": true,
        "vocab_size": 248320
    },
    "tie_word_embeddings": false,
    "video_token_id": 248057,
    "vision_config": {
        "deepstack_visual_indexes": [],
        "depth": 27,
        "hidden_act": "gelu_pytorch_tanh",
        "hidden_size": 1152,
        "in_channels": 3,
        "initializer_range": 0.02,
        "intermediate_size": 4304,
        "model_type": "qwen3_5",
        "num_heads": 16,
        "num_position_embeddings": 2304,
        "out_hidden_size": 5120,
        "patch_size": 16,
        "spatial_merge_size": 2,
        "temporal_patch_size": 2
    },
    "vision_end_token_id": 248054,
    "vision_start_token_id": 248053
}