{ "architectures": [ "InternVLForConditionalGeneration" ], "downsample_ratio": 0.5, "dtype": "bfloat16", "image_seq_length": 256, "image_token_id": 151671, "model_type": "internvl", "projector_hidden_act": "gelu", "quantization_config": { "config_groups": { "group_0": { "format": "float-quantized", "input_activations": { "actorder": null, "block_structure": null, "dynamic": true, "group_size": null, "num_bits": 8, "observer": null, "observer_kwargs": {}, "scale_dtype": null, "strategy": "token", "symmetric": true, "type": "float", "zp_dtype": null }, "output_activations": null, "targets": [ "Linear" ], "weights": { "actorder": null, "block_structure": null, "dynamic": false, "group_size": null, "num_bits": 8, "observer": "memoryless_minmax", "observer_kwargs": {}, "scale_dtype": null, "strategy": "channel", "symmetric": true, "type": "float", "zp_dtype": null } } }, "format": "float-quantized", "global_compression_ratio": null, "ignore": [ "model.vision_tower.encoder.layer.0.attention.q_proj", "model.vision_tower.encoder.layer.0.attention.k_proj", "model.vision_tower.encoder.layer.0.attention.v_proj", "model.vision_tower.encoder.layer.0.attention.projection_layer", "model.vision_tower.encoder.layer.0.mlp.fc1", "model.vision_tower.encoder.layer.0.mlp.fc2", "model.vision_tower.encoder.layer.1.attention.q_proj", "model.vision_tower.encoder.layer.1.attention.k_proj", "model.vision_tower.encoder.layer.1.attention.v_proj", "model.vision_tower.encoder.layer.1.attention.projection_layer", "model.vision_tower.encoder.layer.1.mlp.fc1", "model.vision_tower.encoder.layer.1.mlp.fc2", "model.vision_tower.encoder.layer.2.attention.q_proj", "model.vision_tower.encoder.layer.2.attention.k_proj", "model.vision_tower.encoder.layer.2.attention.v_proj", "model.vision_tower.encoder.layer.2.attention.projection_layer", "model.vision_tower.encoder.layer.2.mlp.fc1", "model.vision_tower.encoder.layer.2.mlp.fc2", "model.vision_tower.encoder.layer.3.attention.q_proj", "model.vision_tower.encoder.layer.3.attention.k_proj", "model.vision_tower.encoder.layer.3.attention.v_proj", "model.vision_tower.encoder.layer.3.attention.projection_layer", "model.vision_tower.encoder.layer.3.mlp.fc1", "model.vision_tower.encoder.layer.3.mlp.fc2", "model.vision_tower.encoder.layer.4.attention.q_proj", "model.vision_tower.encoder.layer.4.attention.k_proj", "model.vision_tower.encoder.layer.4.attention.v_proj", "model.vision_tower.encoder.layer.4.attention.projection_layer", "model.vision_tower.encoder.layer.4.mlp.fc1", "model.vision_tower.encoder.layer.4.mlp.fc2", "model.vision_tower.encoder.layer.5.attention.q_proj", "model.vision_tower.encoder.layer.5.attention.k_proj", "model.vision_tower.encoder.layer.5.attention.v_proj", "model.vision_tower.encoder.layer.5.attention.projection_layer", "model.vision_tower.encoder.layer.5.mlp.fc1", "model.vision_tower.encoder.layer.5.mlp.fc2", "model.vision_tower.encoder.layer.6.attention.q_proj", "model.vision_tower.encoder.layer.6.attention.k_proj", "model.vision_tower.encoder.layer.6.attention.v_proj", "model.vision_tower.encoder.layer.6.attention.projection_layer", "model.vision_tower.encoder.layer.6.mlp.fc1", "model.vision_tower.encoder.layer.6.mlp.fc2", "model.vision_tower.encoder.layer.7.attention.q_proj", "model.vision_tower.encoder.layer.7.attention.k_proj", "model.vision_tower.encoder.layer.7.attention.v_proj", "model.vision_tower.encoder.layer.7.attention.projection_layer", "model.vision_tower.encoder.layer.7.mlp.fc1", "model.vision_tower.encoder.layer.7.mlp.fc2", "model.vision_tower.encoder.layer.8.attention.q_proj", "model.vision_tower.encoder.layer.8.attention.k_proj", "model.vision_tower.encoder.layer.8.attention.v_proj", "model.vision_tower.encoder.layer.8.attention.projection_layer", "model.vision_tower.encoder.layer.8.mlp.fc1", "model.vision_tower.encoder.layer.8.mlp.fc2", "model.vision_tower.encoder.layer.9.attention.q_proj", "model.vision_tower.encoder.layer.9.attention.k_proj", "model.vision_tower.encoder.layer.9.attention.v_proj", "model.vision_tower.encoder.layer.9.attention.projection_layer", "model.vision_tower.encoder.layer.9.mlp.fc1", "model.vision_tower.encoder.layer.9.mlp.fc2", "model.vision_tower.encoder.layer.10.attention.q_proj", "model.vision_tower.encoder.layer.10.attention.k_proj", "model.vision_tower.encoder.layer.10.attention.v_proj", "model.vision_tower.encoder.layer.10.attention.projection_layer", "model.vision_tower.encoder.layer.10.mlp.fc1", "model.vision_tower.encoder.layer.10.mlp.fc2", "model.vision_tower.encoder.layer.11.attention.q_proj", "model.vision_tower.encoder.layer.11.attention.k_proj", "model.vision_tower.encoder.layer.11.attention.v_proj", "model.vision_tower.encoder.layer.11.attention.projection_layer", "model.vision_tower.encoder.layer.11.mlp.fc1", "model.vision_tower.encoder.layer.11.mlp.fc2", "model.vision_tower.encoder.layer.12.attention.q_proj", "model.vision_tower.encoder.layer.12.attention.k_proj", "model.vision_tower.encoder.layer.12.attention.v_proj", "model.vision_tower.encoder.layer.12.attention.projection_layer", "model.vision_tower.encoder.layer.12.mlp.fc1", "model.vision_tower.encoder.layer.12.mlp.fc2", "model.vision_tower.encoder.layer.13.attention.q_proj", "model.vision_tower.encoder.layer.13.attention.k_proj", "model.vision_tower.encoder.layer.13.attention.v_proj", "model.vision_tower.encoder.layer.13.attention.projection_layer", "model.vision_tower.encoder.layer.13.mlp.fc1", "model.vision_tower.encoder.layer.13.mlp.fc2", "model.vision_tower.encoder.layer.14.attention.q_proj", "model.vision_tower.encoder.layer.14.attention.k_proj", "model.vision_tower.encoder.layer.14.attention.v_proj", "model.vision_tower.encoder.layer.14.attention.projection_layer", "model.vision_tower.encoder.layer.14.mlp.fc1", "model.vision_tower.encoder.layer.14.mlp.fc2", "model.vision_tower.encoder.layer.15.attention.q_proj", "model.vision_tower.encoder.layer.15.attention.k_proj", "model.vision_tower.encoder.layer.15.attention.v_proj", "model.vision_tower.encoder.layer.15.attention.projection_layer", "model.vision_tower.encoder.layer.15.mlp.fc1", "model.vision_tower.encoder.layer.15.mlp.fc2", "model.vision_tower.encoder.layer.16.attention.q_proj", "model.vision_tower.encoder.layer.16.attention.k_proj", "model.vision_tower.encoder.layer.16.attention.v_proj", "model.vision_tower.encoder.layer.16.attention.projection_layer", "model.vision_tower.encoder.layer.16.mlp.fc1", "model.vision_tower.encoder.layer.16.mlp.fc2", "model.vision_tower.encoder.layer.17.attention.q_proj", "model.vision_tower.encoder.layer.17.attention.k_proj", "model.vision_tower.encoder.layer.17.attention.v_proj", "model.vision_tower.encoder.layer.17.attention.projection_layer", "model.vision_tower.encoder.layer.17.mlp.fc1", "model.vision_tower.encoder.layer.17.mlp.fc2", "model.vision_tower.encoder.layer.18.attention.q_proj", "model.vision_tower.encoder.layer.18.attention.k_proj", "model.vision_tower.encoder.layer.18.attention.v_proj", "model.vision_tower.encoder.layer.18.attention.projection_layer", "model.vision_tower.encoder.layer.18.mlp.fc1", "model.vision_tower.encoder.layer.18.mlp.fc2", "model.vision_tower.encoder.layer.19.attention.q_proj", "model.vision_tower.encoder.layer.19.attention.k_proj", "model.vision_tower.encoder.layer.19.attention.v_proj", "model.vision_tower.encoder.layer.19.attention.projection_layer", "model.vision_tower.encoder.layer.19.mlp.fc1", "model.vision_tower.encoder.layer.19.mlp.fc2", "model.vision_tower.encoder.layer.20.attention.q_proj", "model.vision_tower.encoder.layer.20.attention.k_proj", "model.vision_tower.encoder.layer.20.attention.v_proj", "model.vision_tower.encoder.layer.20.attention.projection_layer", "model.vision_tower.encoder.layer.20.mlp.fc1", "model.vision_tower.encoder.layer.20.mlp.fc2", "model.vision_tower.encoder.layer.21.attention.q_proj", "model.vision_tower.encoder.layer.21.attention.k_proj", "model.vision_tower.encoder.layer.21.attention.v_proj", "model.vision_tower.encoder.layer.21.attention.projection_layer", "model.vision_tower.encoder.layer.21.mlp.fc1", "model.vision_tower.encoder.layer.21.mlp.fc2", "model.vision_tower.encoder.layer.22.attention.q_proj", "model.vision_tower.encoder.layer.22.attention.k_proj", "model.vision_tower.encoder.layer.22.attention.v_proj", "model.vision_tower.encoder.layer.22.attention.projection_layer", "model.vision_tower.encoder.layer.22.mlp.fc1", "model.vision_tower.encoder.layer.22.mlp.fc2", "model.vision_tower.encoder.layer.23.attention.q_proj", "model.vision_tower.encoder.layer.23.attention.k_proj", "model.vision_tower.encoder.layer.23.attention.v_proj", "model.vision_tower.encoder.layer.23.attention.projection_layer", "model.vision_tower.encoder.layer.23.mlp.fc1", "model.vision_tower.encoder.layer.23.mlp.fc2", "model.multi_modal_projector.linear_1", "model.multi_modal_projector.linear_2", "lm_head" ], "kv_cache_scheme": null, "quant_method": "compressed-tensors", "quantization_status": "compressed", "sparsity_config": {}, "transform_config": {}, "version": "0.17.1" }, "text_config": { "_name_or_path": "/root/codespace/checkpoints/Qwen3-4B", "architectures": [ "Qwen3ForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 151643, "debug": false, "dtype": "bfloat16", "eos_token_id": 151645, "ep_size": 1, "head_dim": 128, "hidden_act": "silu", "hidden_size": 2560, "initializer_range": 0.02, "intermediate_size": 9728, "layer_types": [ "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention" ], "max_position_embeddings": 40960, "max_window_layers": 36, "micro_forward": false, "model_type": "qwen3", "num_attention_heads": 32, "num_hidden_layers": 36, "num_key_value_heads": 8, "pad_token_id": null, "rms_norm_eps": 1e-06, "rope_parameters": { "rope_theta": 1000000, "rope_type": "default" }, "skip_checkpoint": false, "sliding_window": null, "tie_word_embeddings": false, "use_cache": true, "use_deepep": false, "use_sliding_window": false, "vocab_size": 151936 }, "tie_word_embeddings": false, "transformers_version": "5.10.1", "vision_config": { "architectures": [ "InternVisionModel" ], "attention_bias": true, "attention_dropout": 0.0, "dropout": 0.0, "dtype": "bfloat16", "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 1024, "image_size": [ 448, 448 ], "initializer_factor": 0.1, "initializer_range": 1e-10, "intermediate_size": 4096, "layer_norm_eps": 1e-06, "layer_scale_init_value": 0.1, "model_type": "internvl_vision", "norm_type": "layer_norm", "num_attention_heads": 16, "num_channels": 3, "num_hidden_layers": 24, "patch_size": [ 14, 14 ], "projection_dropout": 0.0, "use_absolute_position_embeddings": true, "use_mask_token": false, "use_mean_pooling": true, "use_qk_norm": false }, "vision_feature_layer": -1, "vision_feature_select_strategy": "default" }