vlash / lora_adapters /adapter_config.json
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{
"alora_invocation_tokens": null,
"alpha_pattern": {},
"arrow_config": null,
"auto_mapping": null,
"base_model_name_or_path": null,
"bias": "none",
"corda_config": null,
"ensure_weight_tying": false,
"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": 16,
"lora_bias": false,
"lora_dropout": 0.0,
"megatron_config": null,
"megatron_core": "megatron.core",
"modules_to_save": [
"action_expert.model.layers.16.input_layernorm.dense",
"vlm.model.language_model.layers.13.input_layernorm",
"action_expert.model.layers.17.post_attention_layernorm.dense",
"action_expert.model.layers.6.input_layernorm.dense",
"action_expert.model.layers.5.post_attention_layernorm.dense",
"action_expert.model.layers.13.input_layernorm.dense",
"vlm.model.language_model.layers.7.input_layernorm",
"vlm.model.language_model.layers.0.post_attention_layernorm",
"action_expert.model.layers.3.post_attention_layernorm.dense",
"vlm.model.language_model.layers.6.input_layernorm",
"action_expert.model.layers.7.post_attention_layernorm.dense",
"action_expert.model.layers.10.post_attention_layernorm.dense",
"action_expert.model.layers.5.input_layernorm.dense",
"vlm.model.language_model.layers.14.post_attention_layernorm",
"suffix_embedder.time_mlp_in",
"vlm.model.language_model.layers.11.post_attention_layernorm",
"vlm.model.language_model.layers.15.post_attention_layernorm",
"vlm.model.language_model.layers.17.input_layernorm",
"action_expert.model.layers.8.post_attention_layernorm.dense",
"action_expert.model.layers.1.post_attention_layernorm.dense",
"action_expert.model.layers.14.post_attention_layernorm.dense",
"action_out_proj",
"action_expert.model.layers.14.input_layernorm.dense",
"vlm.model.language_model.layers.2.post_attention_layernorm",
"vlm.model.language_model.layers.1.post_attention_layernorm",
"action_expert.model.layers.4.input_layernorm.dense",
"action_expert.model.layers.15.input_layernorm.dense",
"vlm.model.vision_tower.vision_model.embeddings.position_embedding",
"vlm.model.language_model.layers.15.input_layernorm",
"action_expert.model.layers.4.post_attention_layernorm.dense",
"vlm.model.language_model.layers.17.post_attention_layernorm",
"vlm.model.language_model.layers.0.input_layernorm",
"action_expert.model.layers.0.post_attention_layernorm.dense",
"vlm.model.language_model.layers.6.post_attention_layernorm",
"vlm.model.language_model.layers.4.input_layernorm",
"action_expert.model.layers.0.input_layernorm.dense",
"vlm.model.language_model.layers.3.post_attention_layernorm",
"vlm.model.language_model.layers.5.post_attention_layernorm",
"action_expert.model.layers.11.post_attention_layernorm.dense",
"vlm.model.language_model.layers.8.input_layernorm",
"vlm.model.language_model.layers.12.post_attention_layernorm",
"suffix_embedder.state_proj",
"action_expert.model.layers.12.input_layernorm.dense",
"vlm.model.language_model.layers.9.post_attention_layernorm",
"action_expert.model.layers.15.post_attention_layernorm.dense",
"action_expert.model.layers.8.input_layernorm.dense",
"vlm.model.language_model.layers.12.input_layernorm",
"action_expert.model.layers.16.post_attention_layernorm.dense",
"vlm.model.language_model.layers.4.post_attention_layernorm",
"suffix_embedder.state_mlp_out",
"vlm.model.language_model.layers.8.post_attention_layernorm",
"action_expert.model.layers.17.input_layernorm.dense",
"vlm.model.language_model.layers.10.input_layernorm",
"action_expert.model.layers.2.input_layernorm.dense",
"vlm.model.language_model.layers.11.input_layernorm",
"action_expert.model.layers.13.post_attention_layernorm.dense",
"vlm.model.language_model.layers.16.input_layernorm",
"action_expert.model.layers.1.input_layernorm.dense",
"action_expert.model.layers.9.input_layernorm.dense",
"vlm.model.language_model.layers.13.post_attention_layernorm",
"action_expert.model.layers.7.input_layernorm.dense",
"action_expert.model.layers.6.post_attention_layernorm.dense",
"vlm.model.language_model.layers.2.input_layernorm",
"vlm.model.language_model.layers.16.post_attention_layernorm",
"vlm.model.language_model.layers.14.input_layernorm",
"vlm.model.language_model.layers.10.post_attention_layernorm",
"suffix_embedder.action_in_proj",
"vlm.model.vision_tower.vision_model.embeddings.patch_embedding",
"vlm.model.language_model.layers.7.post_attention_layernorm",
"vlm.model.language_model.layers.9.input_layernorm",
"action_expert.model.layers.12.post_attention_layernorm.dense",
"action_expert.model.layers.9.post_attention_layernorm.dense",
"vlm.model.language_model.layers.5.input_layernorm",
"suffix_embedder.time_mlp_out",
"action_expert.model.layers.10.input_layernorm.dense",
"action_expert.model.layers.3.input_layernorm.dense",
"action_expert.model.layers.11.input_layernorm.dense",
"suffix_embedder.state_mlp_in",
"action_expert.model.layers.2.post_attention_layernorm.dense",
"vlm.model.language_model.layers.3.input_layernorm",
"vlm.model.language_model.layers.1.input_layernorm"
],
"peft_type": "LORA",
"peft_version": "0.18.0",
"qalora_group_size": 16,
"r": 16,
"rank_pattern": {},
"revision": null,
"target_modules": [
"v_proj",
"q_proj",
"fc1",
"o_proj",
"down_proj",
"out_proj",
"gate_proj",
"up_proj",
"k_proj",
"fc2"
],
"target_parameters": null,
"task_type": "FEATURE_EXTRACTION",
"trainable_token_indices": null,
"use_dora": false,
"use_qalora": false,
"use_rslora": false
}