{
  "schema_version": 1,
  "peft_version": "0.19.2.dev0",
  "methods": {
    "ADALORA": {
      "config_class": "AdaLoraConfig",
      "model_class": "AdaLoraModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": true,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": true,
            "nn.Parameter": true
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [
            "bnb_4bit",
            "bnb_8bit",
            "gptq"
          ],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": false,
          "source": "probe",
          "note": "ValueError: AdaLoraModel supports only 1 trainable adapter. When using multiple adapters, set inference_mode to True for all adapters except the one you want to train."
        },
        "mixed_adapter_batches": {
          "value": true,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": true,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection",
          "note": "explicitly disabled for this method"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": true
          },
          "source": "introspection"
        },
        "extras": {
          "value": [
            "alpha_pattern",
            "layer_replication",
            "rank_pattern",
            "use_dora",
            "use_rslora"
          ],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://openreview.net/forum?id=lq62uWRJjiY",
          "source": "file_check",
          "note": "from the model class docstring"
        }
      }
    },
    "ADAMSS": {
      "config_class": "AdamssConfig",
      "model_class": "AdamssModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": "unknown",
          "source": "error",
          "note": "AttributeError: 'tuple' object has no attribute '__module__'"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": "unknown",
          "source": "error",
          "note": "AttributeError: 'tuple' object has no attribute '__module__'"
        },
        "merging": {
          "value": "unknown",
          "source": "error",
          "note": "AttributeError: 'tuple' object has no attribute '__module__'"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://openreview.net/forum?id=8ZdWmpYxT0",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "ADAPTION_PROMPT": {
      "config_class": "AdaptionPromptConfig",
      "model_class": "AdaptionPromptModel",
      "features": {
        "category": {
          "value": "other",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "quantization_backends": {
          "value": "unknown",
          "source": "introspection",
          "note": "no known quantization signal"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection",
          "note": "only supported by layer-wrapping adapter methods"
        },
        "merging": {
          "value": false,
          "source": "introspection",
          "note": "method does not implement merging"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": false,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2303.16199.",
          "source": "file_check",
          "note": "from the model class docstring"
        }
      }
    },
    "BEFT": {
      "config_class": "BeftConfig",
      "model_class": "BeftModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": true,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://arxiv.org/abs/2509.15974",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "BOFT": {
      "config_class": "BOFTConfig",
      "model_class": "BOFTModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": true,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [
            "aqlm",
            "awq",
            "bnb_4bit",
            "bnb_8bit",
            "eetq",
            "gptq",
            "hqq",
            "inc",
            "torchao"
          ],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": null,
          "source": "file_check",
          "note": "no unambiguous paper link in the docs intro or the config/model class docstrings"
        }
      }
    },
    "C3A": {
      "config_class": "C3AConfig",
      "model_class": "C3AModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2407.19342",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "CARTRIDGE": {
      "config_class": "CartridgeConfig",
      "model_class": "CartridgeEncoder",
      "features": {
        "category": {
          "value": "prompt_learning",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "quantization_backends": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "prompt learning does not wrap target layers and generally works regardless of quantization"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection",
          "note": "only supported by layer-wrapping adapter methods"
        },
        "merging": {
          "value": false,
          "source": "introspection",
          "note": "virtual tokens cannot be merged into base weights"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": null,
          "source": "file_check",
          "note": "no unambiguous paper link in the docs intro or the config/model class docstrings"
        }
      }
    },
    "CPT": {
      "config_class": "CPTConfig",
      "model_class": "CPTEmbedding",
      "features": {
        "category": {
          "value": "prompt_learning",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "quantization_backends": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "prompt learning does not wrap target layers and generally works regardless of quantization"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection",
          "note": "only supported by layer-wrapping adapter methods"
        },
        "merging": {
          "value": false,
          "source": "introspection",
          "note": "virtual tokens cannot be merged into base weights"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2410.17222",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "DELORA": {
      "config_class": "DeloraConfig",
      "model_class": "DeloraModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [
            "rank_pattern"
          ],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2503.18225",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "FOURIERFT": {
      "config_class": "FourierFTConfig",
      "model_class": "FourierFTModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": true,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2405.03003",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "GRALORA": {
      "config_class": "GraloraConfig",
      "model_class": "GraloraModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": true,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2505.20355",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "HIRA": {
      "config_class": "HiraConfig",
      "model_class": "HiraModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": true,
            "Conv1d": true,
            "Conv2d": true,
            "Conv3d": true,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": true,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [
            "bnb_4bit",
            "bnb_8bit"
          ],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": true,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [
            "rank_pattern"
          ],
          "source": "introspection"
        },
        "paper_url": {
          "value": null,
          "source": "file_check",
          "note": "no unambiguous paper link in the docs intro or the config/model class docstrings"
        }
      }
    },
    "HRA": {
      "config_class": "HRAConfig",
      "model_class": "HRAModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": true,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2405.17484",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "IA3": {
      "config_class": "IA3Config",
      "model_class": "IA3Model",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": "unknown",
          "source": "probe",
          "note": "no layer type could be wrapped, probe presumably mis-configured; Linear: ValueError: Please specify `feedforward_modules` in `peft_config`"
        },
        "quantization_backends": {
          "value": [
            "bnb_4bit",
            "bnb_8bit"
          ],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": "unknown",
          "source": "probe",
          "note": "could not build probe model: ValueError: Please specify `feedforward_modules` in `peft_config`"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "introspection",
          "note": "merge() is implemented, but probing failed: could not build probe model: ValueError: Please specify `feedforward_modules` in `peft_config`"
        },
        "peft_mixed_model": {
          "value": true,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "introspection",
          "note": "based on presence of a supports_lora_conversion override; probing failed: could not build probe model: ValueError: Please specify `feedforward_modules` in `peft_config`"
        },
        "add_weighted_adapter": {
          "value": true,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2205.05638",
          "source": "file_check",
          "note": "from the model class docstring"
        }
      }
    },
    "LILY": {
      "config_class": "LilyConfig",
      "model_class": "LilyModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": false,
          "source": "probe",
          "note": "NotImplementedError: This method is not supported for Lily."
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2407.09946",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "LN_TUNING": {
      "config_class": "LNTuningConfig",
      "model_class": "LNTuningModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": true,
            "Conv1d": true,
            "Conv2d": true,
            "Conv3d": true,
            "LayerNorm": true,
            "MultiheadAttention": true,
            "Conv1D (transformers)": true,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2312.11420",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "LOHA": {
      "config_class": "LoHaConfig",
      "model_class": "LoHaModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": true,
            "Conv2d": true,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": true,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [
            "alpha_pattern",
            "rank_pattern"
          ],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2108.06098",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "LOKR": {
      "config_class": "LoKrConfig",
      "model_class": "LoKrModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": true,
            "Conv2d": true,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": true,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [
            "alpha_pattern",
            "rank_pattern"
          ],
          "source": "introspection"
        },
        "paper_url": {
          "value": null,
          "source": "file_check",
          "note": "no unambiguous paper link in the docs intro or the config/model class docstrings"
        }
      }
    },
    "LORA": {
      "config_class": "LoraConfig",
      "model_class": "LoraModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": true,
            "Conv1d": true,
            "Conv2d": true,
            "Conv3d": true,
            "LayerNorm": false,
            "MultiheadAttention": true,
            "Conv1D (transformers)": true,
            "nn.Parameter": true
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [
            "aqlm",
            "awq",
            "bnb_4bit",
            "bnb_8bit",
            "eetq",
            "gptq",
            "hqq",
            "inc",
            "torchao"
          ],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": true,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": true,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "introspection",
          "note": "already a LoRA adapter"
        },
        "add_weighted_adapter": {
          "value": true,
          "source": "introspection"
        },
        "hotswapping": {
          "value": true,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": true
          },
          "source": "introspection"
        },
        "extras": {
          "value": [
            "alpha_pattern",
            "layer_replication",
            "rank_pattern",
            "use_dora",
            "use_rslora"
          ],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2309.15223",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "MISS": {
      "config_class": "MissConfig",
      "model_class": "MissModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [
            "aqlm",
            "awq",
            "bnb_4bit",
            "bnb_8bit",
            "eetq",
            "gptq",
            "hqq",
            "inc",
            "torchao"
          ],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://arxiv.org/abs/2409.15371",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "MULTITASK_PROMPT_TUNING": {
      "config_class": "MultitaskPromptTuningConfig",
      "model_class": "MultitaskPromptEmbedding",
      "features": {
        "category": {
          "value": "prompt_learning",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "quantization_backends": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "prompt learning does not wrap target layers and generally works regardless of quantization"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection",
          "note": "only supported by layer-wrapping adapter methods"
        },
        "merging": {
          "value": false,
          "source": "introspection",
          "note": "virtual tokens cannot be merged into base weights"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2303.02861",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "OFT": {
      "config_class": "OFTConfig",
      "model_class": "OFTModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": true,
            "Conv1d": false,
            "Conv2d": true,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [
            "aqlm",
            "awq",
            "bnb_4bit",
            "bnb_8bit",
            "eetq",
            "gptq",
            "hqq",
            "inc"
          ],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2306.07280",
          "source": "file_check",
          "note": "from the model class docstring"
        }
      }
    },
    "OSF": {
      "config_class": "OSFConfig",
      "model_class": "OSFModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [
            "rank_pattern"
          ],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2504.07097",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "PEANUT": {
      "config_class": "PeanutConfig",
      "model_class": "PeanutModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://arxiv.org/abs/2410.01870",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "POLY": {
      "config_class": "PolyConfig",
      "model_class": "PolyModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": false,
          "source": "introspection",
          "note": "no tuner layer class implements merge()"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": null,
          "source": "file_check",
          "note": "no unambiguous paper link in the docs intro or the config/model class docstrings"
        }
      }
    },
    "PREFIX_TUNING": {
      "config_class": "PrefixTuningConfig",
      "model_class": "PrefixEncoder",
      "features": {
        "category": {
          "value": "prompt_learning",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "quantization_backends": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "prompt learning does not wrap target layers and generally works regardless of quantization"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection",
          "note": "only supported by layer-wrapping adapter methods"
        },
        "merging": {
          "value": false,
          "source": "introspection",
          "note": "virtual tokens cannot be merged into base weights"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": null,
          "source": "file_check",
          "note": "no unambiguous paper link in the docs intro or the config/model class docstrings"
        }
      }
    },
    "PROMPT_TUNING": {
      "config_class": "PromptTuningConfig",
      "model_class": "PromptEmbedding",
      "features": {
        "category": {
          "value": "prompt_learning",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "quantization_backends": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "prompt learning does not wrap target layers and generally works regardless of quantization"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection",
          "note": "only supported by layer-wrapping adapter methods"
        },
        "merging": {
          "value": false,
          "source": "introspection",
          "note": "virtual tokens cannot be merged into base weights"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": null,
          "source": "file_check",
          "note": "no unambiguous paper link in the docs intro or the config/model class docstrings"
        }
      }
    },
    "PSOFT": {
      "config_class": "PsoftConfig",
      "model_class": "PsoftModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://openreview.net/forum?id=FSHrinMArK.",
          "source": "file_check",
          "note": "from the config class docstring"
        }
      }
    },
    "PVERA": {
      "config_class": "PveraConfig",
      "model_class": "PveraModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": true,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [
            "bnb_4bit",
            "bnb_8bit"
          ],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2512.07703",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "P_TUNING": {
      "config_class": "PromptEncoderConfig",
      "model_class": "PromptEncoder",
      "features": {
        "category": {
          "value": "prompt_learning",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "quantization_backends": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "prompt learning does not wrap target layers and generally works regardless of quantization"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection",
          "note": "only supported by layer-wrapping adapter methods"
        },
        "merging": {
          "value": false,
          "source": "introspection",
          "note": "virtual tokens cannot be merged into base weights"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": "not_applicable",
          "source": "introspection",
          "note": "method does not wrap target layers"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": null,
          "source": "file_check",
          "note": "no unambiguous paper link in the docs intro or the config/model class docstrings"
        }
      }
    },
    "RANDLORA": {
      "config_class": "RandLoraConfig",
      "model_class": "RandLoraModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": true,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [
            "bnb_4bit",
            "bnb_8bit"
          ],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": null,
          "source": "file_check",
          "note": "no unambiguous paper link in the docs intro or the config/model class docstrings"
        }
      }
    },
    "ROAD": {
      "config_class": "RoadConfig",
      "model_class": "RoadModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [
            "bnb_4bit",
            "bnb_8bit"
          ],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": true,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": true,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2409.00119",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "SHIRA": {
      "config_class": "ShiraConfig",
      "model_class": "ShiraModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": true,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2406.13175",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "TINYLORA": {
      "config_class": "TinyLoraConfig",
      "model_class": "TinyLoraModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": true,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": true,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://arxiv.org/abs/2602.04118",
          "source": "file_check",
          "note": "from the config class docstring"
        }
      }
    },
    "TRAINABLE_TOKENS": {
      "config_class": "TrainableTokensConfig",
      "model_class": "TrainableTokensModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": true,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": false,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": false,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": null,
          "source": "file_check",
          "note": "no unambiguous paper link in the docs intro or the config/model class docstrings"
        }
      }
    },
    "VBLORA": {
      "config_class": "VBLoRAConfig",
      "model_class": "VBLoRAModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": true,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2405.15179",
          "source": "file_check",
          "note": "from the config class docstring"
        }
      }
    },
    "VERA": {
      "config_class": "VeraConfig",
      "model_class": "VeraModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": true,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [
            "aqlm",
            "awq",
            "bnb_4bit",
            "bnb_8bit",
            "eetq",
            "gptq",
            "hqq",
            "inc",
            "torchao"
          ],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2310.11454",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "WAVEFT": {
      "config_class": "WaveFTConfig",
      "model_class": "WaveFTModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": {
            "Linear": true,
            "Embedding": false,
            "Conv1d": false,
            "Conv2d": false,
            "Conv3d": false,
            "LayerNorm": false,
            "MultiheadAttention": false,
            "Conv1D (transformers)": true,
            "nn.Parameter": false
          },
          "source": "probe",
          "note": "nn.Parameter support is based on the presence of the target_parameters config option"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": true,
          "source": "probe"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": true,
          "source": "probe"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": true,
          "source": "probe"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": true,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2505.12532",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    },
    "XLORA": {
      "config_class": "XLoraConfig",
      "model_class": "XLoraModel",
      "features": {
        "category": {
          "value": "adapter",
          "source": "introspection"
        },
        "target_layer_types": {
          "value": "unknown",
          "source": "probe",
          "note": "not probed: requires pre-trained LoRA adapter checkpoints to instantiate"
        },
        "quantization_backends": {
          "value": [],
          "source": "file_check"
        },
        "multiple_adapters": {
          "value": "unknown",
          "source": "probe",
          "note": "not probed: requires pre-trained LoRA adapter checkpoints to instantiate"
        },
        "mixed_adapter_batches": {
          "value": false,
          "source": "introspection"
        },
        "merging": {
          "value": false,
          "source": "introspection",
          "note": "no tuner layer class implements merge()"
        },
        "peft_mixed_model": {
          "value": false,
          "source": "introspection"
        },
        "lora_conversion": {
          "value": false,
          "source": "introspection",
          "note": "based on presence of a supports_lora_conversion override; probing failed: not probed: requires pre-trained LoRA adapter checkpoints to instantiate"
        },
        "add_weighted_adapter": {
          "value": false,
          "source": "introspection"
        },
        "hotswapping": {
          "value": false,
          "source": "introspection"
        },
        "auxiliary_modules": {
          "value": {
            "modules_to_save": false,
            "trainable_token_indices": false
          },
          "source": "introspection"
        },
        "extras": {
          "value": [],
          "source": "introspection"
        },
        "paper_url": {
          "value": "https://huggingface.co/papers/2402.07148",
          "source": "file_check",
          "note": "from the docs intro"
        }
      }
    }
  }
}