| { |
| "alpha_pattern": {}, |
| "auto_mapping": { |
| "base_model_class": "Granite4VisionForConditionalGeneration", |
| "parent_library": "modeling" |
| }, |
| "base_model_name_or_path": "ibm-granite/granite-4.0-3b-vision", |
| "bias": "none", |
| "corda_config": null, |
| "eva_config": null, |
| "exclude_modules": null, |
| "fan_in_fan_out": false, |
| "inference_mode": true, |
| "init_lora_weights": true, |
| "layer_replication": null, |
| "layers_pattern": null, |
| "layers_to_transform": null, |
| "loftq_config": {}, |
| "lora_alpha": 256, |
| "lora_bias": false, |
| "lora_dropout": 0.05, |
| "megatron_config": null, |
| "megatron_core": "megatron.core", |
| "modules_to_save": null, |
| "peft_type": "LORA", |
| "qalora_group_size": 16, |
| "r": 256, |
| "rank_pattern": {}, |
| "revision": null, |
| "target_modules": [ |
| "language_model.layers.20.self_attn.q_proj", |
| "language_model.layers.7.self_attn.q_proj", |
| "32.self_attn.k_proj", |
| "28.self_attn.q_proj", |
| "language_model.layers.14.self_attn.k_proj", |
| "language_model.layers.19.self_attn.v_proj", |
| "language_model.layers.26.self_attn.k_proj", |
| "29.self_attn.q_proj", |
| "35.self_attn.k_proj", |
| "language_model.layers.8.self_attn.v_proj", |
| "34.self_attn.k_proj", |
| "language_model.layers.22.self_attn.q_proj", |
| "29.self_attn.v_proj", |
| "35.self_attn.v_proj", |
| "31.self_attn.q_proj", |
| "language_model.layers.4.self_attn.q_proj", |
| "language_model.layers.18.self_attn.v_proj", |
| "language_model.layers.10.self_attn.v_proj", |
| "27.self_attn.v_proj", |
| "34.self_attn.v_proj", |
| "language_model.layers.25.self_attn.v_proj", |
| "language_model.layers.21.self_attn.v_proj", |
| "language_model.layers.12.self_attn.q_proj", |
| "35.self_attn.q_proj", |
| "38.self_attn.q_proj", |
| "language_model.layers.6.self_attn.q_proj", |
| "language_model.layers.22.self_attn.k_proj", |
| "language_model.layers.25.self_attn.q_proj", |
| "language_model.layers.16.self_attn.q_proj", |
| "language_model.layers.16.self_attn.v_proj", |
| "language_model.layers.23.self_attn.k_proj", |
| "language_model.layers.13.self_attn.q_proj", |
| "36.self_attn.q_proj", |
| "39.self_attn.q_proj", |
| "language_model.layers.2.self_attn.v_proj", |
| "37.self_attn.v_proj", |
| "27.self_attn.q_proj", |
| "language_model.layers.20.self_attn.k_proj", |
| "language_model.layers.1.self_attn.k_proj", |
| "language_model.layers.1.self_attn.q_proj", |
| "37.self_attn.k_proj", |
| "input_linear", |
| "28.self_attn.k_proj", |
| "language_model.layers.12.self_attn.k_proj", |
| "language_model.layers.23.self_attn.v_proj", |
| "27.self_attn.k_proj", |
| "language_model.layers.1.self_attn.v_proj", |
| "language_model.layers.7.self_attn.v_proj", |
| "language_model.layers.6.self_attn.k_proj", |
| "language_model.layers.10.self_attn.k_proj", |
| "39.self_attn.k_proj", |
| "language_model.layers.14.self_attn.v_proj", |
| "language_model.layers.26.self_attn.v_proj", |
| "language_model.layers.15.self_attn.v_proj", |
| "language_model.layers.8.self_attn.k_proj", |
| "language_model.layers.9.self_attn.v_proj", |
| "language_model.layers.16.self_attn.k_proj", |
| "30.self_attn.v_proj", |
| "language_model.layers.3.self_attn.q_proj", |
| "33.self_attn.k_proj", |
| "36.self_attn.k_proj", |
| "o_proj", |
| "33.self_attn.v_proj", |
| "language_model.layers.15.self_attn.k_proj", |
| "language_model.layers.9.self_attn.k_proj", |
| "language_model.layers.3.self_attn.v_proj", |
| "32.self_attn.q_proj", |
| "language_model.layers.6.self_attn.v_proj", |
| "language_model.layers.0.self_attn.k_proj", |
| "language_model.layers.2.self_attn.q_proj", |
| "language_model.layers.9.self_attn.q_proj", |
| "language_model.layers.18.self_attn.k_proj", |
| "38.self_attn.k_proj", |
| "language_model.layers.14.self_attn.q_proj", |
| "language_model.layers.0.self_attn.q_proj", |
| "30.self_attn.k_proj", |
| "language_model.layers.13.self_attn.k_proj", |
| "language_model.layers.11.self_attn.v_proj", |
| "language_model.layers.4.self_attn.v_proj", |
| "31.self_attn.k_proj", |
| "language_model.layers.13.self_attn.v_proj", |
| "language_model.layers.5.self_attn.v_proj", |
| "28.self_attn.v_proj", |
| "language_model.layers.24.self_attn.k_proj", |
| "language_model.layers.23.self_attn.q_proj", |
| "language_model.layers.2.self_attn.k_proj", |
| "language_model.layers.5.self_attn.k_proj", |
| "language_model.layers.19.self_attn.k_proj", |
| "language_model.layers.7.self_attn.k_proj", |
| "language_model.layers.4.self_attn.k_proj", |
| "language_model.layers.19.self_attn.q_proj", |
| "language_model.layers.10.self_attn.q_proj", |
| "language_model.layers.25.self_attn.k_proj", |
| "language_model.layers.18.self_attn.q_proj", |
| "36.self_attn.v_proj", |
| "language_model.layers.21.self_attn.k_proj", |
| "33.self_attn.q_proj", |
| "language_model.layers.24.self_attn.q_proj", |
| "34.self_attn.q_proj", |
| "output_linear", |
| "language_model.layers.5.self_attn.q_proj", |
| "39.self_attn.v_proj", |
| "38.self_attn.v_proj", |
| "language_model.layers.0.self_attn.v_proj", |
| "language_model.layers.17.self_attn.q_proj", |
| "language_model.layers.3.self_attn.k_proj", |
| "29.self_attn.k_proj", |
| "language_model.layers.26.self_attn.q_proj", |
| "language_model.layers.11.self_attn.k_proj", |
| "language_model.layers.24.self_attn.v_proj", |
| "language_model.layers.17.self_attn.v_proj", |
| "37.self_attn.q_proj", |
| "language_model.layers.22.self_attn.v_proj", |
| "language_model.layers.17.self_attn.k_proj", |
| "language_model.layers.21.self_attn.q_proj", |
| "30.self_attn.q_proj", |
| "language_model.layers.11.self_attn.q_proj", |
| "language_model.layers.8.self_attn.q_proj", |
| "language_model.layers.12.self_attn.v_proj", |
| "language_model.layers.20.self_attn.v_proj", |
| "32.self_attn.v_proj", |
| "31.self_attn.v_proj", |
| "language_model.layers.15.self_attn.q_proj" |
| ], |
| "target_parameters": [], |
| "task_type": null, |
| "trainable_token_indices": null, |
| "use_dora": false, |
| "use_qalora": false, |
| "use_rslora": false |
| } |
