huggingface/peft

18.2

Adjusted Score

18.2

Raw Score

100%

Time Factor

2026-07-13

Last Push

21.4K

Stars

Python

Language

195.5K

Lines of Code

845

Files

3.0K

Pattern Hits

2026-07-14

Scan Date

0.19

HC Hit Rate

What These Metrics Mean

Adjusted Score: Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score: The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor: The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits: Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate: High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files: Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 35HIGH 128MEDIUM 57LOW 2789

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 3009 distinct pattern matches across 20 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Hyper-Verbose Identifiers1289 hits · 982 pts

Severity	File	Line	Snippet	Context
LOW	tests/test_mixed.py	449	def test_target_different_layers(self, config0, config1):	CODE
LOW	tests/test_mixed.py	490	def test_target_last_layer_same_type(self, config0, config1):	CODE
LOW	tests/test_mixed.py	519	def test_target_first_layer_same_type(self, config0, config1):	CODE
LOW	tests/test_mixed.py	667	def test_get_nb_trainable_parameters(self):	CODE
LOW	tests/test_mixed.py	696	def test_bias_only_honored_for_non_lora_tuner(self):	CODE
LOW	tests/test_mixed.py	707	def test_incompatible_config_raises(self):	CODE
LOW⚡	tests/test_seq_classifier.py	327	def prepare_inputs_for_testing(self):	STRING
LOW⚡	tests/test_seq_classifier.py	334	def test_attributes_parametrized(self, model_id, config_cls, config_kwargs):	STRING
LOW⚡	tests/test_seq_classifier.py	344	def test_prepare_for_training_parametrized(self, model_id, config_cls, config_kwargs):	STRING
LOW⚡	tests/test_seq_classifier.py	349	def test_prompt_tuning_text_prepare_for_training(self, model_id, config_cls, config_kwargs):	STRING
LOW⚡	tests/test_seq_classifier.py	366	def test_save_pretrained_pickle(self, model_id, config_cls, config_kwargs):	STRING
LOW⚡	tests/test_seq_classifier.py	372	def test_save_pretrained_selected_adapters(self, model_id, config_cls, config_kwargs):	STRING
LOW⚡	tests/test_seq_classifier.py	378	def test_save_pretrained_selected_adapters_pickle(self, model_id, config_cls, config_kwargs):	STRING
LOW⚡	tests/test_seq_classifier.py	386	def test_from_pretrained_config_construction(self, model_id, config_cls, config_kwargs):	STRING
LOW⚡	tests/test_seq_classifier.py	391	def test_modules_to_save_correctly_set(self, model_id, config_cls, config_kwargs):	STRING
LOW	tests/test_lora_conversion.py	78	def test_no_peft_layer_raises(self):	CODE
LOW	tests/test_lora_conversion.py	85	def test_prompt_learning_model_raises(self):	CODE
LOW	tests/test_lora_conversion.py	96	def test_peft_model_but_no_support_raises(self):	CODE
LOW	tests/test_lora_conversion.py	106	def test_model_with_unsupported_layers_raises(self):	CODE
LOW	tests/test_lora_conversion.py	122	def test_targeted_modules_identical(self, lokr_model):	CODE
LOW	tests/test_lora_conversion.py	138	def test_targeted_modules_identical_target_modules_str(self):	CODE
LOW	tests/test_lora_conversion.py	157	def test_fixed_rank_lora_config(self, lokr_model):	CODE
LOW	tests/test_lora_conversion.py	167	def test_dynamic_rank_lora_config(self, lokr_model):	CODE
LOW	tests/test_lora_conversion.py	193	def test_threshold_wrong_value_raises(self, lokr_model):	CODE
LOW	tests/test_lora_conversion.py	203	def test_rank_higher_than_weight_dim_raises(self, lokr_model):	CODE
LOW	tests/test_lora_conversion.py	214	def test_converting_transformers_model_works(self, lokr_model, tmp_path):	CODE
LOW	tests/test_lora_conversion.py	245	def test_converted_lora_approximates_original_adapter(self, lokr_model):	CODE
LOW	tests/test_lora_conversion.py	334	def test_model_without_peft_config(self, lokr_model):	CODE
LOW	tests/test_lora_conversion.py	372	def test_converted_lora_to_lora_works_and_warns(self):	CODE
LOW	tests/test_lora_conversion.py	410	def test_converted_lora_with_multiple_adapters(self, lokr_model):	CODE
LOW	tests/test_lora_conversion.py	456	def test_convert_model_with_modules_to_save(self):	CODE
LOW	tests/test_lora_conversion.py	496	def test_convert_model_with_trainable_bias_raises(self, bias):	CODE
LOW	tests/test_lora_conversion.py	605	def test_miss_supports_lora_conversion(self, miss_model_standard, miss_model_mini, miss_model_bat):	CODE
LOW	tests/test_lora_conversion.py	610	def test_miss_standard_exact_conversion(self, miss_model_standard):	CODE
LOW	tests/test_lora_conversion.py	627	def test_miss_mini_exact_conversion(self, miss_model_mini):	CODE
LOW	tests/test_lora_conversion.py	644	def test_miss_bat_approximate_conversion(self, miss_model_bat):	CODE
LOW	tests/test_lora_conversion.py	666	def test_miss_targeted_modules_identical(self, miss_model_standard):	CODE
LOW⚡	tests/test_tuners_utils.py	460	def test_one_targeted_module_regex(self):	STRING
LOW⚡	tests/test_tuners_utils.py	465	def test_two_targeted_module_regex(self):	STRING
LOW⚡	tests/test_tuners_utils.py	470	def test_one_targeted_module_list(self):	STRING
LOW⚡	tests/test_tuners_utils.py	475	def test_two_targeted_module_list(self):	STRING
LOW⚡	tests/test_tuners_utils.py	578	def test_two_excluded_module_regex(self):	STRING
LOW⚡	tests/test_tuners_utils.py	583	def test_two_excluded_module_list(self):	STRING
LOW⚡	tests/test_tuners_utils.py	588	def test_multiple_excluded_modules_list(self):	STRING
LOW⚡	tests/test_tuners_utils.py	846	def test_available_adapters_small(self, small_model):	STRING
LOW⚡	tests/test_tuners_utils.py	852	def test_available_adapters_large(self, large_model):	STRING
LOW⚡	tests/test_tuners_utils.py	858	def test_devices_all_cpu_small(self, small_model):	STRING
LOW⚡	tests/test_tuners_utils.py	864	def test_devices_all_cpu_large(self, large_model):	STRING
LOW⚡	tests/test_tuners_utils.py	950	def test_target_parameters_and_target_modules(self, large_model):	STRING
LOW⚡	tests/test_tuners_utils.py	960	def test_quantization_backend_small(self, small_model):	STRING
LOW⚡	tests/test_tuners_utils.py	965	def test_quantization_backend_large(self, large_model):	STRING
LOW⚡	tests/test_tuners_utils.py	971	def test_quantization_backend_bnb(self, small_base_model_cls):	STRING
LOW⚡	tests/test_tuners_utils.py	1007	def test_base_model_type_small(self, small_model):	STRING
LOW⚡	tests/test_tuners_utils.py	1011	def test_base_model_type_large(self, large_model):	STRING
LOW⚡	tests/test_tuners_utils.py	1015	def test_base_model_type_transformers_automodel(self):	STRING
LOW⚡	tests/test_tuners_utils.py	1024	def test_adapter_model_type_small(self, small_model):	STRING
LOW⚡	tests/test_tuners_utils.py	1028	def test_adapter_model_type_large(self, large_model):	STRING
LOW⚡	tests/test_tuners_utils.py	1066	def test_model_disabled_small(self, small_model):	STRING
LOW⚡	tests/test_tuners_utils.py	1071	def test_model_disabled_large(self, large_model):	STRING
LOW⚡	tests/test_tuners_utils.py	1076	def test_model_enabled_irregular(self, large_model):	STRING
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Cross-File Repetition117 hits · 585 pts

Severity	File	Line	Snippet	Context
HIGH	tests/test_gpu_examples.py	0	efficient mechanism to free gpu memory after each test. based on https://github.com/huggingface/transformers/issues/2109	STRING
HIGH	tests/test_vision_models.py	0	efficient mechanism to free gpu memory after each test. based on https://github.com/huggingface/transformers/issues/2109	STRING
HIGH	tests/test_gptqmodel.py	0	efficient mechanism to free gpu memory after each test. based on https://github.com/huggingface/transformers/issues/2109	STRING
HIGH	tests/test_common_gpu.py	0	efficient mechanism to free gpu memory after each test. based on https://github.com/huggingface/transformers/issues/2109	STRING
HIGH	tests/test_torch_compile.py	0	efficient mechanism to free gpu memory after each test. based on https://github.com/huggingface/transformers/issues/2109	STRING
HIGH	docs/source/package_reference/lora.md	0	run forward and backward passes for gradient estimation.	STRING
HIGH	examples/lora_ga_finetuning/README.md	0	run forward and backward passes for gradient estimation.	STRING
HIGH	examples/lora_ga_finetuning/lora_ga_finetuning.py	0	run forward and backward passes for gradient estimation.	STRING
HIGH	examples/boft_controlnet/utils/tracemalloc.py	0	get resident set size memory for the current process	STRING
HIGH	…_modeling/peft_lora_clm_accelerate_ds_zero3_offload.py	0	get resident set size memory for the current process	STRING
HIGH	examples/deft_dreambooth/train_dreambooth.py	0	get resident set size memory for the current process	STRING
HIGH	examples/oft_dreambooth/train_dreambooth.py	0	get resident set size memory for the current process	STRING
HIGH	examples/hra_dreambooth/utils/tracemalloc.py	0	get resident set size memory for the current process	STRING
HIGH	examples/stable_diffusion/train_dreambooth.py	0	get resident set size memory for the current process	STRING
HIGH	examples/lora_dreambooth/train_dreambooth.py	0	get resident set size memory for the current process	STRING
HIGH	examples/boft_dreambooth/utils/tracemalloc.py	0	get resident set size memory for the current process	STRING
HIGH	…ation/peft_lora_seq2seq_accelerate_ds_zero3_offload.py	0	get resident set size memory for the current process	STRING
HIGH	examples/waveft_finetuning/waveft_finetuning.py	0	below is an instruction that describes a task. write a response that appropriately completes the request. ### instructio	STRING
HIGH	examples/hira_finetuning/hira_finetuning.py	0	below is an instruction that describes a task. write a response that appropriately completes the request. ### instructio	STRING
HIGH	examples/glora_finetuning/glora_finetuning.py	0	below is an instruction that describes a task. write a response that appropriately completes the request. ### instructio	STRING
HIGH	examples/olora_finetuning/olora_finetuning.py	0	below is an instruction that describes a task. write a response that appropriately completes the request. ### instructio	STRING
HIGH	examples/shira_finetuning/shira_finetuning.py	0	below is an instruction that describes a task. write a response that appropriately completes the request. ### instructio	STRING
HIGH	examples/deft_dreambooth/train_dreambooth.py	0	a dataset to prepare the instance and class images with the prompts for fine-tuning the model. it pre-processes the imag	STRING
HIGH	examples/oft_dreambooth/train_dreambooth.py	0	a dataset to prepare the instance and class images with the prompts for fine-tuning the model. it pre-processes the imag	STRING
HIGH	examples/hra_dreambooth/utils/dataset.py	0	a dataset to prepare the instance and class images with the prompts for fine-tuning the model. it pre-processes the imag	STRING
HIGH	examples/stable_diffusion/train_dreambooth.py	0	a dataset to prepare the instance and class images with the prompts for fine-tuning the model. it pre-processes the imag	STRING
HIGH	examples/lora_dreambooth/train_dreambooth.py	0	a dataset to prepare the instance and class images with the prompts for fine-tuning the model. it pre-processes the imag	STRING
HIGH	examples/boft_dreambooth/utils/dataset.py	0	a dataset to prepare the instance and class images with the prompts for fine-tuning the model. it pre-processes the imag	STRING
HIGH	examples/corda_finetuning/corda_finetuning.py	0	returns the number of trainable parameters and number of all parameters in the model.	STRING
HIGH	src/peft/peft_model.py	0	returns the number of trainable parameters and number of all parameters in the model.	STRING
HIGH	src/peft/mixed_model.py	0	returns the number of trainable parameters and number of all parameters in the model.	STRING
HIGH	src/peft/peft_model.py	0	deletes an existing adapter. args: adapter_name (str): name of the adapter to be deleted.	STRING
HIGH	src/peft/tuners/tuners_utils.py	0	deletes an existing adapter. args: adapter_name (str): name of the adapter to be deleted.	STRING
HIGH	src/peft/tuners/waveft/model.py	0	deletes an existing adapter. args: adapter_name (str): name of the adapter to be deleted.	STRING
HIGH	src/peft/utils/other.py	0	check if the arguments are compatible with the configs and state of the model	STRING
HIGH	src/peft/tuners/road/layer.py	0	check if the arguments are compatible with the configs and state of the model	STRING
HIGH	src/peft/tuners/lora/layer.py	0	check if the arguments are compatible with the configs and state of the model	STRING
HIGH	src/peft/tuners/lycoris_utils.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/hra/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/road/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/miss/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/oft/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/vera/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/delora/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/boft/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/waveft/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/c3a/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/hira/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/hira/bnb.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/road/bnb.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/fourierft/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/vblora/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/gralora/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/ia3/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/osf/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/adalora/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/pvera/layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/lora/hqq.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/lora/tp_layer.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
HIGH	src/peft/tuners/lora/inc.py	0	merge the active adapter weights into the base weights. args: safe_merge (`bool`, optional): if `true`, the merge oper	STRING
57 more matches not shown…

Hallucination Indicators35 hits · 440 pts

Severity	File	Line	Snippet	Context
CRITICAL	tests/test_lora_conversion.py	468	lokr_model.base_model.model.model.decoder.layers[0].fc1.modules_to_save.default.weight.data.mul_(-10.0)	CODE
CRITICAL	tests/test_lora_conversion.py	469	lokr_model.base_model.model.model.decoder.layers[0].fc1.modules_to_save.default.bias.data.mul_(-10.0)	CODE
CRITICAL⚡	tests/test_cpt.py	247	emb = model.prompt_encoder.default.embedding.weight.data.clone().detach()	CODE
CRITICAL⚡	tests/test_cpt.py	263	assert torch.all(model.prompt_encoder.default.embedding.weight.data.clone().detach().cpu() == emb.cpu())	CODE
CRITICAL⚡	tests/test_cpt.py	277	emb = model.prompt_encoder.default.embedding.weight.data.clone().detach()	CODE
CRITICAL	tests/test_cpt.py	294	assert torch.all(model.prompt_encoder.default.embedding.weight.data.clone().detach().cpu() == emb.cpu())	CODE
CRITICAL	tests/test_trainable_tokens.py	228	initial_delta = model.model.model.embed_tokens.trainable_tokens_delta.default.clone()	CODE
CRITICAL	tests/test_trainable_tokens.py	229	initial_originals = model.model.model.embed_tokens.trainable_tokens_original.default.clone()	CODE
CRITICAL	tests/test_trainable_tokens.py	680	assert merged_model.model.decoder.embed_tokens.weight.data_ptr() == merged_model.lm_head.weight.data_ptr()	CODE
CRITICAL	tests/test_trainable_tokens.py	717	assert merged_model.model.decoder.embed_tokens.weight.data_ptr() == merged_model.lm_head.weight.data_ptr()	CODE
CRITICAL	tests/test_trainable_tokens.py	816	expected_changed_weights = peft_model.model.model.embed_tokens.trainable_tokens_delta.default.data.clone()	CODE
CRITICAL	tests/test_gpu_examples.py	2231	embed_params = model.base_model.model.model.decoder.embed_tokens.original_module.weight.numel()	STRING
CRITICAL⚡	tests/test_initialization.py	5792	model.base_model.model.model.embed_tokens.weight.data_ptr()	CODE
CRITICAL⚡	tests/test_initialization.py	5793	!= model.base_model.model.lm_head.weight.data_ptr()	CODE
CRITICAL	tests/test_initialization.py	5264	peft_model.prompt_encoder.default.embedding.weight.data.fill_(1.0)	CODE
CRITICAL	tests/test_initialization.py	5481	embed_np = dict(model.base_model.model.model.embed_tokens.named_parameters())	CODE
CRITICAL	tests/test_initialization.py	5541	embed_np = dict(model.base_model.model.model.embed_tokens.named_parameters())	CODE
CRITICAL	tests/test_initialization.py	5716	shared_np = dict(model.base_model.model.model.shared.named_parameters())	CODE
CRITICAL⚡	tests/test_target_parameters.py	384	gate_proj_1_0.lora_A.default.weight.data.copy_(gate_proj_0_0.lora_A.default.weight.data)	CODE
CRITICAL⚡	tests/test_target_parameters.py	385	gate_proj_1_1.lora_A.default.weight.data.copy_(gate_proj_0_1.lora_A.default.weight.data)	CODE
CRITICAL⚡	tests/test_target_parameters.py	386	gate_proj_1_0.lora_B.default.weight.data.copy_(gate_proj_0_0.lora_B.default.weight.data)	CODE
CRITICAL⚡	tests/test_target_parameters.py	387	gate_proj_1_1.lora_B.default.weight.data.copy_(gate_proj_0_1.lora_B.default.weight.data)	CODE
CRITICAL⚡	tests/test_decoder_models.py	821	layers[0].mlp.up_proj.base_layer.weight.data.storage().data_ptr()	CODE
CRITICAL⚡	tests/test_decoder_models.py	822	== layers[1].mlp.up_proj.base_layer.weight.data.storage().data_ptr()	CODE
CRITICAL⚡	tests/test_decoder_models.py	823	and layers[2].mlp.up_proj.base_layer.weight.data.storage().data_ptr()	CODE
CRITICAL⚡	tests/test_decoder_models.py	824	== layers[3].mlp.up_proj.base_layer.weight.data.storage().data_ptr()	CODE
CRITICAL⚡	tests/test_decoder_models.py	827	layers[0].mlp.up_proj.base_layer.weight.data.storage().data_ptr()	CODE
CRITICAL⚡	tests/test_decoder_models.py	828	!= layers[2].mlp.up_proj.base_layer.weight.data.storage().data_ptr()	CODE
CRITICAL⚡	tests/test_decoder_models.py	831	layers[0].mlp.up_proj.lora_A.default.weight.data.storage().data_ptr()	CODE
CRITICAL⚡	tests/test_decoder_models.py	832	!= layers[1].mlp.up_proj.lora_A.default.weight.data.storage().data_ptr()	CODE
CRITICAL⚡	tests/test_decoder_models.py	833	and layers[2].mlp.up_proj.lora_A.default.weight.data.storage().data_ptr()	CODE
CRITICAL⚡	tests/test_decoder_models.py	834	!= layers[3].mlp.up_proj.lora_A.default.weight.data.storage().data_ptr()	CODE
CRITICAL	tests/test_custom_models.py	4051	lm_head_keys = list(model.base_model.model.lm_head.modules_to_save.keys())	CODE
CRITICAL	tests/test_custom_models.py	4054	embed_token_keys = list(model.base_model.model.model.decoder.embed_tokens.modules_to_save.keys())	CODE
CRITICAL	src/peft/tuners/tuners_utils.py	619	model.lm_head.weight.data = model.model.embed_tokens.weight.data.clone()	CODE

Unused Imports589 hits · 431 pts

Severity	File	Line	Context
LOW	tests/test_lorafa.py	15	CODE
LOW	tests/test_trainable_tokens.py	15	CODE
LOW	tests/test_loraplus.py	14	CODE
LOW	method_comparison/app_embed.py	26	CODE
LOW	method_comparison/app_embed.py	26	CODE
LOW	examples/stable_diffusion/inc_flux_lora_hpu.py	26	CODE
LOW	src/peft/config.py	14	CODE
LOW	src/peft/__init__.py	17	CODE
LOW	src/peft/__init__.py	17	CODE
LOW	src/peft/__init__.py	17	CODE
LOW	src/peft/__init__.py	17	CODE
LOW	src/peft/__init__.py	17	CODE
LOW	src/peft/__init__.py	17	CODE
LOW	src/peft/__init__.py	17	CODE
LOW	src/peft/__init__.py	17	CODE
LOW	src/peft/__init__.py	27	CODE
LOW	src/peft/__init__.py	27	CODE
LOW	src/peft/__init__.py	28	CODE
LOW	src/peft/__init__.py	29	CODE
LOW	src/peft/__init__.py	29	CODE
LOW	src/peft/__init__.py	29	CODE
LOW	src/peft/__init__.py	29	CODE
LOW	src/peft/__init__.py	29	CODE
LOW	src/peft/__init__.py	36	CODE
LOW	src/peft/__init__.py	37	CODE
LOW	src/peft/__init__.py	38	CODE
LOW	src/peft/__init__.py	38	CODE
LOW	src/peft/__init__.py	38	CODE
LOW	src/peft/__init__.py	38	CODE
LOW	src/peft/__init__.py	38	CODE
LOW	src/peft/__init__.py	38	CODE
LOW	src/peft/__init__.py	38	CODE
LOW	src/peft/__init__.py	38	CODE
LOW	src/peft/__init__.py	38	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
LOW	src/peft/__init__.py	49	CODE
529 more matches not shown…

Over-Commented Block382 hits · 371 pts

Severity	File	Line	Snippet	Context
LOW	setup.py	1	# Copyright 2023 The HuggingFace Team. All rights reserved.	COMMENT
LOW	setup.py	101	# Push the tag to git:	COMMENT
LOW	tests/test_mixed.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_seq_classifier.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_lora_conversion.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_tuners_utils.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_tuners_utils.py	61	from .testing_utils import hub_online_once, require_bitsandbytes, require_non_cpu	COMMENT
LOW	tests/test_tuners_utils.py	1981	super().__init__()	COMMENT
LOW	tests/conftest.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_xlora.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_hub_features.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_lorafa.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_cpt.py	1	# Copyright 2024-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_low_level_api.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_lora_megatron.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_trainable_tokens.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_gpu_examples.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_integrations.py	1	# Copyright 2024-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_poly.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/testing_utils.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_loraplus.py	1	# Copyright 2024-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_adaption_prompt.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_frod.py	1	# Copyright 2026-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_initialization.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_initialization.py	5041	# (proj): Conv3d(3, 1280, kernel_size=(2, 14, 14), stride=(2, 14, 14), bias=False)	COMMENT
LOW	tests/test_initialization.py	5061	# (mlp): Sequential(	COMMENT
LOW	tests/test_initialization.py	5081	# (up_proj): Linear(in_features=1536, out_features=8960, bias=False)	COMMENT
LOW	tests/test_initialization.py	5121	return model	COMMENT
LOW	tests/test_initialization.py	5141	# (mlp): VisionMlp(	COMMENT
LOW	tests/test_initialization.py	5161	# (self_attn): Qwen2VLAttention(	COMMENT
LOW	tests/test_target_parameters.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_pvera.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_vision_models.py	1	# Copyright 2024-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_gptqmodel.py	1	# Note: These tests were copied from test_common_gpu.py and test_gpu_examples.py as they can run on CPU too.	COMMENT
LOW	tests/test_decoder_models.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_encoder_decoder_models.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_multitask_prompt_tuning.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_lora_ga.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/testing_common.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_quantization.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_common_gpu.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_cartridge.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_vblora.py	1	# Copyright 2024-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_config.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_randlora.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_unilora.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_shira.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_boft.py	1	# Copyright 2024-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_feature_extraction_models.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_bdlora.py	1	# Copyright 2026-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_helpers.py	1	# Copyright 2024-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_stablediffusion.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_lora_variants.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_incremental_pca.py	1	# Copyright 2024-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_auto.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_deft.py	1	# Copyright 2026-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_other.py	1	# Copyright 2023-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_arrow.py	1	# Copyright 2025-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_vera.py	1	# Copyright 2024-present the HuggingFace Inc. team.	COMMENT
LOW	tests/test_torch_compile.py	1	# Copyright 2024-present the HuggingFace Inc. team.	COMMENT
322 more matches not shown…

Deep Nesting258 hits · 232 pts

Severity	File	Line	Context
LOW	tests/test_lora_conversion.py	576	CODE
LOW	tests/test_trainable_tokens.py	586	CODE
LOW	tests/test_gpu_examples.py	6646	CODE
LOW	tests/test_gpu_examples.py	6700	CODE
LOW	tests/test_gpu_examples.py	5933	CODE
LOW	tests/testing_utils.py	318	CODE
LOW	tests/test_initialization.py	1487	CODE
LOW	tests/test_initialization.py	4465	CODE
LOW	tests/test_initialization.py	4642	CODE
LOW	tests/test_initialization.py	4674	CODE
LOW	tests/test_decoder_models.py	442	CODE
LOW	tests/testing_common.py	588	CODE
LOW	tests/testing_common.py	1038	CODE
LOW	tests/testing_common.py	1196	CODE
LOW	tests/testing_common.py	1300	CODE
LOW	tests/testing_common.py	1332	CODE
LOW	tests/testing_common.py	1392	CODE
LOW	tests/testing_common.py	1501	CODE
LOW	tests/test_other.py	655	CODE
LOW	tests/test_arrow.py	474	CODE
LOW	tests/test_custom_models.py	2723	CODE
LOW	tests/test_custom_models.py	2842	CODE
LOW	method_comparison/app_embed.py	38	CODE
LOW	method_comparison/sanitizer.py	6	CODE
LOW	method_comparison/app.py	280	CODE
LOW	method_comparison/image-gen/run.py	159	CODE
LOW	method_comparison/image-gen/utils.py	314	CODE
LOW	method_comparison/text_generation_benchmark/run.py	139	CODE
LOW	method_comparison/text_generation_benchmark/utils.py	205	CODE
LOW	method_comparison/peft-shop/app.py	1110	CODE
LOW	method_comparison/MetaMathQA/utils.py	210	CODE
LOW	method_comparison/MetaMathQA/utils.py	359	CODE
LOW	…les/sequence_classification/peft_no_lora_accelerate.py	79	CODE
LOW	examples/boft_controlnet/train_controlnet.py	86	CODE
LOW	examples/boft_controlnet/utils/pipeline_controlnet.py	53	CODE
LOW	examples/boft_controlnet/utils/pipeline_controlnet.py	166	CODE
LOW	examples/boft_controlnet/utils/dataset.py	82	CODE
LOW	examples/boft_controlnet/utils/dataset.py	136	CODE
LOW	…ture_extraction/peft_lora_embedding_semantic_search.py	210	CODE
LOW	…_modeling/peft_lora_clm_accelerate_ds_zero3_offload.py	110	CODE
LOW	examples/arrow_multitask/arrow_phi3_mini.py	120	CODE
LOW	examples/loftq_finetuning/int8_correction.py	68	CODE
LOW	examples/loftq_finetuning/train_gsm8k_llama.py	297	CODE
LOW	…orthogonal_subspace_learning/osf_continual_learning.py	51	CODE
LOW	…orthogonal_subspace_learning/osf_continual_learning.py	99	CODE
LOW	…orthogonal_subspace_learning/osf_continual_learning.py	142	CODE
LOW	examples/orthogonal_subspace_learning/utils.py	42	CODE
LOW	examples/deft_dreambooth/train_dreambooth.py	585	CODE
LOW	examples/oft_dreambooth/train_dreambooth.py	590	CODE
LOW	examples/hra_dreambooth/train_dreambooth.py	82	CODE
LOW	examples/qalora_finetuning/qalora_gptq_finetuning.py	23	CODE
LOW	examples/stable_diffusion/train_dreambooth.py	754	CODE
LOW	examples/stable_diffusion/convert_sd_adapter_to_peft.py	285	CODE
LOW	examples/lora_dreambooth/train_dreambooth.py	580	CODE
LOW	examples/corda_finetuning/datautils.py	106	CODE
LOW	examples/sft/utils.py	86	CODE
LOW	examples/boft_dreambooth/train_dreambooth.py	82	CODE
LOW	…ation/peft_lora_seq2seq_accelerate_ds_zero3_offload.py	104	CODE
LOW	…s/int8_training/peft_adalora_whisper_large_training.py	423	CODE
LOW	scripts/log_reports.py	19	CODE
198 more matches not shown…

Modern Structural Boilerplate93 hits · 91 pts

Severity	File	Line	Snippet	Context
LOW	method_comparison/app.py	46	logger = logging.getLogger(__name__)	CODE
LOW	method_comparison/peft-shop/app.py	294	def _set_data(data: dict[str, Any]) -> None:	CODE
LOW	examples/stable_diffusion/convert_sd_adapter_to_peft.py	20	logger = logging.getLogger(__name__)	CODE
LOW	src/peft/__init__.py	175	__all__ = [	CODE
LOW	src/peft/peft_model.py	1578	def set_adapter(self, adapter_name: str, inference_mode: bool = False) -> None:	CODE
LOW	src/peft/peft_model.py	1603	def set_requires_grad(self, adapter_names: str \| Sequence[str], requires_grad: bool = True) -> None:	CODE
LOW	src/peft/functional.py	26	__all__ = [	CODE
LOW	src/peft/mixed_model.py	251	def set_modules_to_save(self, peft_config: PeftConfig, adapter_name: str) -> None:	CODE
LOW	src/peft/mixed_model.py	266	def set_adapter(self, adapter_name: Union[str, list[str]], inference_mode: bool = False) -> None:	CODE
LOW	src/peft/helpers.py	38	def update_forward_signature(model: PeftModel) -> None:	CODE
LOW	src/peft/helpers.py	72	def update_generate_signature(model: PeftModel) -> None:	CODE
LOW	src/peft/helpers.py	113	def update_signature(model: PeftModel, method: str = "all") -> None:	CODE
LOW	src/peft/utils/__init__.py	85	__all__ = [	CODE
LOW	src/peft/utils/other.py	91	__all__ = [	CODE
LOW	src/peft/utils/other.py	521	def set_adapter(self, adapter_names: Union[str, list[str]], inference_mode: bool = False) -> None:	CODE
LOW	src/peft/utils/other.py	547	def set_requires_grad(self, adapter_names: str \| Sequence[str], requires_grad: bool = True) -> None:	CODE
LOW	src/peft/utils/other.py	700	def set_adapter(self, adapter_names: Union[str, list[str]], inference_mode: bool = False) -> None:	CODE
LOW	src/peft/utils/other.py	944	def set_adapter(self, adapter_names: Union[str, list[str]], inference_mode: bool = False) -> None:	CODE
LOW	src/peft/utils/other.py	1124	def _set_adapter(model, adapter_name: str \| list[str], inference_mode: bool = False) -> None:	CODE
LOW	src/peft/utils/other.py	277	def _set_layer_requires_grad(layer, requires_grad: bool) -> None:	STRING
LOW	src/peft/utils/quantization_utils.py	75	def set_base_weight(self, peft_layer, weight_data: torch.Tensor) -> None:	CODE
LOW	src/peft/utils/quantization_utils.py	116	def set_base_weight(self, peft_layer, weight_data: torch.Tensor) -> None:	CODE
LOW	src/peft/utils/quantization_utils.py	137	def set_base_weight(self, peft_layer, weight_data: torch.Tensor) -> None:	CODE
LOW	src/peft/utils/quantization_utils.py	159	def set_base_weight(self, peft_layer, weight_data: torch.Tensor) -> None:	CODE
LOW	src/peft/utils/quantization_utils.py	191	def set_base_weight(self, peft_layer, weight_data: torch.Tensor) -> None:	CODE
LOW	src/peft/utils/quantization_utils.py	233	def set_base_weight(self, peft_layer, weight_data: torch.Tensor) -> None:	CODE
LOW	src/peft/tuners/__init__.py	78	__all__ = [	CODE
LOW	src/peft/tuners/tuners_utils.py	1265	def set_adapter(self, adapter_name: str \| list[str], inference_mode: bool = False) -> None:	CODE
LOW	src/peft/tuners/tuners_utils.py	1609	def set_adapter(self, adapter_names: str \| list[str], inference_mode: bool = False) -> None:	CODE
LOW	src/peft/tuners/tuners_utils.py	1689	def set_requires_grad(self, adapter_names: str \| Sequence[str], requires_grad: bool = True) -> None:	CODE
LOW	src/peft/tuners/tuners_utils.py	2291	def set_requires_grad(model, adapter_names: str \| Sequence[str], requires_grad: bool = True) -> None:	CODE
LOW	src/peft/tuners/tuners_utils.py	553	def set_requires_grad(self, adapter_names: str \| Sequence[str], requires_grad: bool = True) -> None:	STRING
LOW	src/peft/tuners/tuners_utils.py	1459	def set_base_weight(self, weight_data: torch.Tensor) -> None:	STRING
LOW	src/peft/tuners/peanut/__init__.py	22	__all__ = ["Linear", "PeanutConfig", "PeanutLayer", "PeanutModel"]	CODE
LOW	src/peft/tuners/prompt_tuning/__init__.py	21	__all__ = ["PromptEmbedding", "PromptTuningConfig", "PromptTuningInit"]	CODE
LOW	src/peft/tuners/hra/__init__.py	22	__all__ = ["HRAConfig", "HRAConv2d", "HRALayer", "HRALinear", "HRAModel"]	CODE
LOW	src/peft/tuners/loha/__init__.py	22	__all__ = ["Conv2d", "Linear", "LoHaConfig", "LoHaLayer", "LoHaModel"]	CODE
LOW	src/peft/tuners/lokr/__init__.py	22	__all__ = ["Conv2d", "Linear", "LoKrConfig", "LoKrLayer", "LoKrModel"]	CODE
LOW	src/peft/tuners/vera/__init__.py	22	__all__ = ["Linear", "VeraConfig", "VeraLayer", "VeraModel"]	CODE
LOW	src/peft/tuners/ln_tuning/__init__.py	21	__all__ = ["LNTuningConfig", "LNTuningModel"]	CODE
LOW	src/peft/tuners/cpt/__init__.py	22	__all__ = ["CPTConfig", "CPTEmbedding"]	CODE
LOW	src/peft/tuners/delora/__init__.py	21	__all__ = ["DeloraConfig", "DeloraLayer", "DeloraLinear", "DeloraModel"]	CODE
LOW	src/peft/tuners/boft/__init__.py	22	__all__ = ["BOFTConfig", "BOFTLayer", "BOFTModel"]	CODE
LOW	src/peft/tuners/psoft/__init__.py	22	__all__ = ["Linear", "PsoftConfig", "PsoftLayer", "PsoftModel"]	CODE
LOW⚡	src/peft/tuners/psoft/layer.py	235	def _set_psoft_ab_cache_buffers(self, adapter_name: str, A: torch.Tensor, B: torch.Tensor) -> None:	CODE
LOW⚡	src/peft/tuners/psoft/layer.py	239	def update_layer(self, adapter_name: str, config: PsoftConfig, **kwargs: Any) -> None:	CODE
LOW	src/peft/tuners/beft/__init__.py	23	__all__ = ["BeftConfig", "BeftLayer", "BeftModel", "Linear"]	CODE
LOW	src/peft/tuners/waveft/__init__.py	22	__all__ = ["WaveFTConfig", "WaveFTLayer", "WaveFTLinear", "WaveFTModel"]	CODE
LOW	src/peft/tuners/c3a/__init__.py	21	__all__ = ["C3AConfig", "C3ALayer", "C3ALinear", "C3AModel"]	CODE
LOW	src/peft/tuners/p_tuning/__init__.py	21	__all__ = ["PromptEncoder", "PromptEncoderConfig", "PromptEncoderReparameterizationType"]	CODE
LOW	src/peft/tuners/adamss/__init__.py	22	__all__ = [	CODE
LOW	src/peft/tuners/adamss/model.py	157	def update_and_allocate(self, global_step: int) -> None:	CODE
LOW	src/peft/tuners/hira/__init__.py	23	__all__ = [	CODE
LOW	src/peft/tuners/hira/layer.py	309	def update_layer(self, adapter_name, r, config: HiraConfig, **kwargs) -> None:	CODE
LOW	src/peft/tuners/mixed/__init__.py	18	__all__ = ["COMPATIBLE_TUNER_TYPES", "MixedModel"]	CODE
LOW	src/peft/tuners/mixed/model.py	201	def set_adapter(self, adapter_name: Union[str, list[str]], inference_mode: bool = False) -> None:	CODE
LOW	src/peft/tuners/frod/__init__.py	22	__all__ = ["FrodConfig", "FrodLayer", "FrodModel", "Linear"]	CODE
LOW	src/peft/tuners/trainable_tokens/__init__.py	22	__all__ = [	CODE
LOW	src/peft/tuners/road/__init__.py	26	__all__ = [	CODE
LOW	src/peft/tuners/fourierft/__init__.py	22	__all__ = ["FourierFTConfig", "FourierFTLayer", "FourierFTLinear", "FourierFTModel"]	CODE
33 more matches not shown…

Self-Referential Comments26 hits · 76 pts

Severity	File	Line	Snippet	Context
MEDIUM	tests/test_trainable_tokens.py	1205	# Create a composite model with two BART sub-models	COMMENT
MEDIUM	tests/test_lora_ga.py	130	# Create a fresh model and load the saved state	COMMENT
MEDIUM	tests/test_helpers.py	669	# Create a minimal dummy MoE model with fused 3D weights	COMMENT
MEDIUM	tests/test_custom_models.py	4628	# Create a weighted adapter combining both adapters and check that its output is same as setting multiple	COMMENT
MEDIUM	method_comparison/app_embed.py	58	# Create an empty figure.	COMMENT
MEDIUM	method_comparison/app.py	57	# Create an empty figure.	COMMENT
MEDIUM	examples/boft_controlnet/train_controlnet.py	537	# Create the pipeline using using the trained modules and save it.	COMMENT
MEDIUM	examples/arrow_multitask/arrow_phi3_mini.py	362	# Creating the Arrow model	COMMENT
MEDIUM	…orthogonal_subspace_learning/osf_continual_learning.py	57	# Create a simple dataloader	COMMENT
MEDIUM	examples/deft_dreambooth/train_dreambooth.py	1072	# Create the pipeline using using the trained modules and save it.	COMMENT
MEDIUM	examples/oft_dreambooth/train_dreambooth.py	1079	# Create the pipeline using using the trained modules and save it.	COMMENT
MEDIUM	examples/hra_dreambooth/train_dreambooth.sh	4	# Define the UNIQUE_TOKEN, CLASS_TOKENs, and SUBJECT_NAMES	COMMENT
MEDIUM	examples/stable_diffusion/train_dreambooth.py	1239	# Create the pipeline using using the trained modules and save it.	COMMENT
MEDIUM	examples/stable_diffusion/convert_sd_adapter_to_peft.py	409	# Create a corresponding adapter info	COMMENT
MEDIUM	examples/lora_dreambooth/train_dreambooth.py	1071	# Create the pipeline using using the trained modules and save it.	COMMENT
MEDIUM	examples/boft_dreambooth/train_dreambooth.sh	5	# Define the UNIQUE_TOKEN, CLASS_TOKENs, and SUBJECT_NAMES	COMMENT
MEDIUM	examples/lora_ga_finetuning/lora_ga_finetuning.py	167	# Create a simple DataLoader for gradient estimation	COMMENT
MEDIUM	src/peft/utils/other.py	1667	# Create the causal mask with fixed shape in advance, to reduce recompilations. If the function to create	COMMENT
MEDIUM	src/peft/tuners/tuners_utils.py	1858	# Create a reverse lookup for other_module_names to quickly check suffix matches	COMMENT
MEDIUM	src/peft/tuners/boft/layer.py	178	# Create a mask with 1s for matrices to be replaced with identity and 0s otherwise	COMMENT
MEDIUM	src/peft/tuners/waveft/layer.py	133	# Create a padded spectrum matrix with additional rows and columns	COMMENT
MEDIUM	src/peft/tuners/waveft/layer.py	144	# Create the padded dense spectrum matrix	COMMENT
MEDIUM	src/peft/tuners/waveft/waverec2d.py	6	# This file contains code derived from PyTorch-Wavelet-Toolbox:	COMMENT
MEDIUM	src/peft/tuners/osf/model.py	103	# Create a new or update an existing OSF layer in place	COMMENT
MEDIUM	src/peft/tuners/xlora/model.py	244	# Create an empty LoraModel	COMMENT
MEDIUM	src/peft/tuners/adalora/model.py	348	"""This method is not supported for AdaLoRA, use LoRA instead."""	STRING

Excessive Try-Catch Wrapping57 hits · 58 pts

Severity	File	Line	Snippet	Context
LOW	tests/testing_utils.py	370	except Exception:	CODE
MEDIUM	tests/test_initialization.py	311	def test_lora_init_orthogonal_half_precision_dtype(self, dtype):	CODE
LOW	tests/test_initialization.py	314	except Exception:	CODE
LOW	tests/test_arrow.py	336	except Exception:	CODE
LOW	tests/test_custom_models.py	2500	except Exception:	CODE
LOW	tests/test_custom_models.py	2540	except Exception:	CODE
LOW	tests/test_custom_models.py	2579	except Exception:	CODE
LOW	tests/test_custom_models.py	2618	except Exception:	CODE
LOW	method_comparison/app.py	188	except Exception as exc:	CODE
LOW	method_comparison/app.py	198	except Exception as exc:	CODE
LOW	method_comparison/app.py	232	except Exception as exc:	CODE
LOW	method_comparison/app.py	393	except Exception as exc:	CODE
LOW	method_comparison/app.py	443	except Exception as exc:	CODE
LOW	method_comparison/app.py	496	except Exception as e:	CODE
LOW	method_comparison/app.py	518	except Exception as e:	CODE
LOW	method_comparison/image-gen/run.py	510	except Exception as exc:	CODE
LOW	method_comparison/image-gen/run.py	631	except Exception as exc:	CODE
LOW	method_comparison/image-gen/utils.py	302	except Exception as exc:	CODE
LOW	method_comparison/image-gen/utils.py	310	except Exception as exc:	CODE
LOW⚡	method_comparison/image-gen/utils.py	326	except Exception as exc:	CODE
LOW⚡	method_comparison/image-gen/utils.py	334	except Exception as exc:	CODE
LOW⚡	method_comparison/image-gen/utils.py	342	except Exception as exc:	CODE
LOW⚡	method_comparison/image-gen/utils.py	350	except Exception as exc:	CODE
LOW	method_comparison/image-gen/evaluate.py	131	except Exception as exc:	CODE
LOW	method_comparison/image-gen/evaluate.py	231	except Exception as exc:	CODE
LOW	method_comparison/text_generation_benchmark/run.py	214	except Exception as exc:	CODE
LOW	method_comparison/text_generation_benchmark/run.py	299	except Exception as exc:	CODE
LOW	method_comparison/MetaMathQA/run.py	386	except Exception as exc:	CODE
LOW	method_comparison/MetaMathQA/utils.py	355	except Exception as exc:	CODE
LOW	method_comparison/MetaMathQA/utils.py	371	except Exception as exc:	CODE
LOW	method_comparison/MetaMathQA/utils.py	379	except Exception as exc:	CODE
LOW	method_comparison/MetaMathQA/utils.py	508	except Exception as exc:	CODE
LOW	method_comparison/MetaMathQA/utils.py	516	except Exception as exc:	CODE
LOW	examples/ephemeral_gpu_offloading/load_with_dora.py	75	except Exception as e:	CODE
LOW	examples/ephemeral_gpu_offloading/load_with_dora.py	80	except Exception as e:	CODE
LOW	examples/qalora_finetuning/qalora_gptq_finetuning.py	69	except Exception as e:	CODE
LOW	examples/adamss_finetuning/test_adamss_quick.py	169	except Exception as e:	CODE
LOW	scripts/generate_method_capabilities.py	283	except Exception as exc:	CODE
LOW	scripts/generate_method_capabilities.py	303	except Exception as exc:	CODE
LOW	scripts/generate_method_capabilities.py	326	except Exception as exc:	CODE
LOW	scripts/generate_method_capabilities.py	362	except Exception as exc:	CODE
LOW	scripts/generate_method_capabilities.py	394	except Exception as exc:	CODE
LOW	scripts/generate_method_capabilities.py	460	except Exception as exc:	CODE
LOW	scripts/generate_method_capabilities.py	514	except Exception as exc:	CODE
LOW	scripts/generate_method_capabilities.py	580	except Exception as exc:	CODE
LOW	scripts/generate_method_capabilities.py	588	except Exception as exc:	CODE
MEDIUM	scripts/generate_method_capabilities.py	352	def run(self) -> Finding:	CODE
LOW	src/peft/config.py	116	except Exception:	STRING
LOW	src/peft/config.py	258	except Exception as exc:	STRING
LOW	src/peft/config.py	322	except Exception:	STRING
MEDIUM	src/peft/peft_model.py	176	def active_adapters(self) -> list[str]:	CODE
LOW	src/peft/peft_model.py	1160	except Exception: # something went wrong, roll back	CODE
LOW	src/peft/mixed_model.py	242	except Exception: # something went wrong, roll back	CODE
LOW	src/peft/helpers.py	162	except Exception:	CODE
LOW	src/peft/utils/other.py	1476	except Exception as e:	CODE
LOW	src/peft/tuners/boft/layer.py	97	except Exception as e:	CODE
LOW	src/peft/tuners/adamss/layer.py	180	except Exception as e:	CODE

Decorative Section Separators17 hits · 57 pts

Severity	File	Line	Snippet	Context
MEDIUM	tests/test_arrow.py	30	# ─── Fixtures ──────────────────────────────────────────────────────────	COMMENT
MEDIUM	examples/KappaTune/experiments_kappatune_peft.py	19	# ==========================================	COMMENT
MEDIUM	examples/KappaTune/experiments_kappatune_peft.py	21	# ==========================================	COMMENT
MEDIUM	examples/KappaTune/experiments_kappatune_peft.py	47	# ==========================================	COMMENT
MEDIUM	examples/KappaTune/experiments_kappatune_peft.py	49	# ==========================================	COMMENT
MEDIUM	examples/KappaTune/experiments_kappatune_peft.py	146	# ==========================================	COMMENT
MEDIUM	examples/KappaTune/experiments_kappatune_peft.py	148	# ==========================================	COMMENT
MEDIUM⚡	…etuning/sequence_classification_finetune_monteclora.py	21	# ----------------------------------------------------------------------------	COMMENT
MEDIUM⚡	…etuning/sequence_classification_finetune_monteclora.py	23	# ----------------------------------------------------------------------------	COMMENT
MEDIUM⚡	…etuning/sequence_classification_finetune_monteclora.py	29	# ----------------------------------------------------------------------------	COMMENT
MEDIUM⚡	…etuning/sequence_classification_finetune_monteclora.py	31	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	…etuning/sequence_classification_finetune_monteclora.py	42	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	…etuning/sequence_classification_finetune_monteclora.py	44	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	…etuning/sequence_classification_finetune_monteclora.py	162	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	…etuning/sequence_classification_finetune_monteclora.py	164	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	src/peft/tuners/lora/layer.py	863	# ------------------------------------------------------------------------------------------	COMMENT
MEDIUM	src/peft/tuners/lora/layer.py	866	# ------------------------------------------------------------------------------------------	COMMENT

AI Structural Patterns59 hits · 56 pts

Severity	File	Line	Context
LOW	tests/testing_utils.py	286	CODE
LOW	tests/test_lora_variants.py	73	CODE
LOW	tests/test_torch_compile.py	146	CODE
LOW	method_comparison/text_generation_benchmark/run_base.py	122	CODE
LOW	method_comparison/text_generation_benchmark/utils.py	279	CODE
LOW	examples/boft_controlnet/utils/pipeline_controlnet.py	166	CODE
LOW	examples/boft_controlnet/utils/unet_2d_condition.py	38	CODE
LOW	examples/waveft_finetuning/waveft_finetuning.py	30	CODE
LOW	examples/hira_finetuning/hira_finetuning.py	26	CODE
LOW	examples/glora_finetuning/glora_finetuning.py	26	CODE
LOW	examples/olora_finetuning/olora_finetuning.py	30	CODE
LOW	examples/shira_finetuning/shira_finetuning.py	31	CODE
LOW	examples/corda_finetuning/datautils.py	95	CODE
LOW	scripts/train_memory.py	106	CODE
LOW	src/peft/peft_model.py	1870	CODE
LOW	src/peft/peft_model.py	2053	CODE
LOW	src/peft/peft_model.py	2397	CODE
LOW	src/peft/peft_model.py	2724	CODE
LOW	src/peft/peft_model.py	2954	CODE
LOW	src/peft/peft_model.py	3025	CODE
LOW	src/peft/utils/incremental_pca.py	46	CODE
LOW	src/peft/tuners/hra/layer.py	268	CODE
LOW	src/peft/tuners/hra/layer.py	458	CODE
LOW	src/peft/tuners/loha/layer.py	244	CODE
LOW	src/peft/tuners/lokr/layer.py	314	CODE
LOW	src/peft/tuners/vera/layer.py	289	CODE
LOW	src/peft/tuners/delora/layer.py	267	CODE
LOW	src/peft/tuners/boft/layer.py	651	CODE
LOW	src/peft/tuners/boft/layer.py	994	CODE
LOW	src/peft/tuners/waveft/layer.py	289	CODE
LOW	src/peft/tuners/c3a/layer.py	202	CODE
LOW	src/peft/tuners/frod/layer.py	346	CODE
LOW	src/peft/tuners/road/layer.py	397	CODE
LOW	src/peft/tuners/fourierft/layer.py	191	CODE
LOW	src/peft/tuners/vblora/layer.py	253	CODE
LOW	src/peft/tuners/gralora/layer.py	387	CODE
LOW	src/peft/tuners/adaption_prompt/layer.py	139	CODE
LOW	src/peft/tuners/unilora/layer.py	252	CODE
LOW	src/peft/tuners/tinylora/layer.py	414	CODE
LOW	src/peft/tuners/miss/layer.py	367	CODE
LOW	src/peft/tuners/ia3/layer.py	319	CODE
LOW	src/peft/tuners/xlora/layer.py	131	CODE
LOW	src/peft/tuners/xlora/layer.py	236	CODE
LOW	src/peft/tuners/pvera/layer.py	312	CODE
LOW	src/peft/tuners/lora/variants.py	246	CODE
LOW	src/peft/tuners/lora/variants.py	345	CODE
LOW	src/peft/tuners/lora/variants.py	434	CODE
LOW	src/peft/tuners/lora/variants.py	889	CODE
LOW	src/peft/tuners/lora/variants.py	1218	CODE
LOW	src/peft/tuners/lora/eva.py	655	CODE
LOW	src/peft/tuners/lora/layer.py	740	CODE
LOW	src/peft/tuners/lora/layer.py	2153	CODE
LOW	src/peft/tuners/randlora/layer.py	346	CODE
LOW	src/peft/tuners/oft/awq.py	69	CODE
LOW	src/peft/tuners/oft/gptq.py	67	CODE
LOW	src/peft/tuners/oft/layer.py	687	CODE
LOW	src/peft/tuners/oft/layer.py	940	CODE
LOW	src/peft/tuners/deft/layer.py	345	CODE
LOW	src/peft/tuners/poly/layer.py	161	CODE

Redundant / Tautological Comments28 hits · 46 pts

Severity	File	Line	Snippet	Context
LOW⚡	tests/test_xlora.py	317	# Set it to 2 and make sure it actually is	COMMENT
LOW⚡	tests/test_xlora.py	322	# Set it to None and make sure it is 1/n	COMMENT
LOW⚡	tests/test_lorafa.py	212	# Check if lora_A weights have not changed	COMMENT
LOW⚡	tests/test_lorafa.py	217	# Check if lora_B weights are non-zero	COMMENT
LOW⚡	tests/test_lorafa.py	243	# Check if lora_A weights have not changed	COMMENT
LOW⚡	tests/test_lorafa.py	248	# Check if lora_B weights are non-zero and if they follow the expected relation	COMMENT
LOW	tests/test_lorafa.py	280	# Check if all non-LoRA params also follow the expected relation	COMMENT
LOW⚡	tests/test_config.py	438	# Check if the user supplied timing values that will certainly fail because it breaks	STRING
LOW	method_comparison/MetaMathQA/utils.py	440	# Check if the string represents a fraction.	COMMENT
LOW	examples/waveft_finetuning/waveft_finetuning.py	50	# Set device_map to the right place when enabling DDP.	COMMENT
LOW	examples/olora_finetuning/olora_finetuning.py	51	# Set device_map to the right place when enabling DDP.	COMMENT
LOW	examples/alora_finetuning/alora_finetuning.py	186	# Print results	COMMENT
LOW	examples/qalora_finetuning/qalora_gptq_finetuning.py	50	# Check if the model has GPTQ quantization attributes	COMMENT
LOW	examples/qalora_finetuning/qalora_gptq_finetuning.py	78	# Check if we already have a cached quantized version	COMMENT
LOW	examples/shira_finetuning/shira_finetuning.py	49	# Set device_map to the right place when enabling DDP.	COMMENT
LOW	examples/sft/utils.py	194	# Check if the model is quantized	COMMENT
LOW	…s/int8_training/peft_adalora_whisper_large_training.py	707	# Check if rank_pattern exists before calling update_and_allocate	COMMENT
LOW⚡	src/peft/utils/other.py	1574	# Check if this is the embedding layer (use endswith to allow flexible matching)	COMMENT
LOW⚡	src/peft/utils/other.py	1579	# Check if this target layer matches any tied module (considering nested structures)	COMMENT
LOW⚡	src/peft/utils/other.py	1587	# Check if all tied layers have the same indices	COMMENT
LOW	src/peft/tuners/tuners_utils.py	1875	# Check if adding this suffix covers the item	COMMENT
LOW	src/peft/tuners/adamss/model.py	98	# Check if already an Adamss layer	COMMENT
LOW	src/peft/tuners/hira/layer.py	138	fan_in_fan_out: bool = False, # Set this to True if the layer to replace stores weight like (fan_in, fan_out)	CODE
LOW	src/peft/tuners/hira/layer.py	299	fan_in_fan_out: bool = False, # Set this to True if the layer to replace stores weight like (fan_in, fan_out)	CODE
LOW	src/peft/tuners/adalora/config.py	94	# Check if 'r' has been set to a non-default value	COMMENT
LOW	src/peft/tuners/lora/loraga.py	136	# Check if any supported layers were found	COMMENT
LOW	src/peft/tuners/oft/layer.py	548	fan_in_fan_out: bool = False, # Set this to True if the layer to replace stores weight like (fan_in, fan_out)	CODE
LOW	src/peft/tuners/oft/layer.py	703	fan_in_fan_out: bool = False, # Set this to True if the layer to replace stores weight like (fan_in, fan_out)	CODE

AI Slop Vocabulary16 hits · 35 pts

Severity	File	Line	Snippet	Context
MEDIUM	tests/test_trainable_tokens.py	664	# for this we can leverage the fact that emb_out(1/emb_in(x)) is embed_dim on the	COMMENT
MEDIUM	tests/test_trainable_tokens.py	701	# for this we can leverage the fact that emb_out(1/emb_in(x)) is embed_dim on the	COMMENT
MEDIUM	tests/test_trainable_tokens.py	762	# for this we can leverage the fact that emb_out(1/emb_in(x)) is embed_dim on the	COMMENT
MEDIUM⚡	tests/test_gpu_examples.py	5806	# increase the scale of the LoRA weights so that the difference between adapters is more pronounced, making	COMMENT
MEDIUM⚡	tests/test_initialization.py	1556	# some arguments don't work in conjunction with lora_bias and should raise	COMMENT
LOW	tests/test_decoder_models.py	522	# a malicious prompt tuning model. This is because PEFT would just pass the on the tokenizer_kwargs defined in	COMMENT
LOW	tests/test_other.py	409	# aware that some of the passing tests may just pass owing to randomness.	COMMENT
LOW	examples/dora_finetuning/dora_finetuning.py	73	use_dora=use_dora, # to use Dora OR compare to Lora just set the --use_dora	CODE
MEDIUM	src/peft/peft_model.py	1046	# TODO: consider replacing this patching of methods with a more robust mechanism: setting a flag and	COMMENT
LOW	src/peft/utils/other.py	1764	# technically it would be sufficient to just return candidates since that contains all the keys of	COMMENT
LOW	src/peft/utils/transformers_weight_conversion.py	493	# If, for any reason, we cannot apply conversion, we just return the PEFT config as is.	COMMENT
MEDIUM	src/peft/tuners/tuners_utils.py	875	# TODO: check if this the most robust way	STRING
LOW	src/peft/tuners/tuners_utils.py	301	# model, just add a `peft_config` dict attribute to your model.	STRING
LOW	src/peft/tuners/adamss/layer.py	395	# so just call base_layer directly (no adapter delta needed).	COMMENT
LOW	src/peft/tuners/lora/conversion.py	329	# effective rank is the same and target_modules are a set, just add the name	COMMENT
MEDIUM	src/peft/tuners/lora/layer.py	387	# check without importing bitsandbytes and robust to bnb_4bit_quant_storage=float*	COMMENT

Docstring Block Structure6 hits · 30 pts

Severity	File	Line	Snippet	Context
HIGH	examples/boft_controlnet/utils/pipeline_controlnet.py	196	Function invoked when calling the pipeline for generation. Args: prompt (`str` or `List[st	STRING
HIGH	examples/qalora_finetuning/qalora_gptq_finetuning.py	109	Tokenize text data and prepare it for language modeling. Args: examples: Dataset examples with 'text'	STRING
HIGH	src/peft/peft_model.py	3213	Get the status of each adapter layer in the model. This function returns a list of `TunerLayerStatus` dataclass ins	STRING
HIGH	src/peft/peft_model.py	3347	Get the status of tuners of the model. This function returns a `TunerModelStatus` dataclass instance, which contain	STRING
HIGH	src/peft/tuners/tuners_utils.py	364	A private method to prepare the adapter config. For transformers based models, if `peft_config.target_	STRING
HIGH	src/peft/tuners/tuners_utils.py	1806	Find the minimal set of target modules that is sufficient to separate them from the other modules. Sometimes, a ver	STRING

Structural Annotation Overuse13 hits · 27 pts

Severity	File	Line	Snippet	Context
LOW⚡	tests/test_adamss_asa.py	107	# Step 1: train so B becomes non-zero	COMMENT
LOW⚡	tests/test_adamss_asa.py	113	# Step 2: now gradients for A should be non-zero	COMMENT
LOW⚡	tests/test_adamss_asa.py	123	# Step 3: another update should change scores via EMA	COMMENT
LOW⚡	tests/test_adamss_asa.py	166	# Step 0: train to make B non-zero	COMMENT
LOW	examples/lora_ga_finetuning/README.md	38	# Step 1: Create LoRA-GA config	COMMENT
LOW⚡	examples/lora_ga_finetuning/README.md	54	# Step 2: Preprocess with LoRA-GA to estimate gradients	COMMENT
LOW⚡	examples/lora_ga_finetuning/README.md	57	# Step 3: Create PEFT model with LoRA-GA initialization	COMMENT
LOW⚡	examples/lora_ga_finetuning/README.md	60	# Step 4: Train normally	COMMENT
LOW⚡	examples/lora_ga_finetuning/README.md	68	# Step 5: Save the trained adapter	COMMENT
LOW	examples/lora_ga_finetuning/README.md	211	### Step 1: Estimate gradients with full-precision model	COMMENT
LOW	examples/lora_ga_finetuning/README.md	250	### Step 2: Load quantized model and apply LoRA-GA	COMMENT
LOW⚡	src/peft/tuners/adamss/model.py	193	# Step 1: accumulate importance EVERY step during warmup	COMMENT
LOW⚡	src/peft/tuners/adamss/model.py	198	# Step 2: at mask intervals → schedule, global mask, then reset	COMMENT

Verbosity Indicators7 hits · 15 pts

Severity	File	Line	Snippet	Context
LOW⚡	tests/test_adamss_asa.py	107	# Step 1: train so B becomes non-zero	COMMENT
LOW⚡	tests/test_adamss_asa.py	113	# Step 2: now gradients for A should be non-zero	COMMENT
LOW⚡	tests/test_adamss_asa.py	123	# Step 3: another update should change scores via EMA	COMMENT
LOW⚡	tests/test_adamss_asa.py	166	# Step 0: train to make B non-zero	COMMENT
LOW	src/peft/import_utils.py	96	# We need to check if `xla_device` can be found, will raise a RuntimeError if not	COMMENT
LOW⚡	src/peft/tuners/adamss/model.py	193	# Step 1: accumulate importance EVERY step during warmup	COMMENT
LOW⚡	src/peft/tuners/adamss/model.py	198	# Step 2: at mask intervals → schedule, global mask, then reset	COMMENT

Cross-Language Confusion5 hits · 12 pts

Severity	File	Line	Snippet	Context
HIGH	src/peft/peft_model.py	1795	trainable params: 370178 \|\| all params: 108680450 \|\| trainable%: 0.3406113979101117	STRING
HIGH	src/peft/peft_model.py	2043	trainable params: 1843200 \|\| all params: 775873280 \|\| trainable%: 0.23756456724479544	STRING
HIGH	src/peft/peft_model.py	2384	trainable params: 884736 \|\| all params: 223843584 \|\| trainable%: 0.3952474242013566	STRING
HIGH	src/peft/peft_model.py	2653	trainable params: 370178 \|\| all params: 108680450 \|\| trainable%: 0.3406113979101117	STRING
HIGH	src/peft/peft_model.py	2883	trainable params: 592900 \|\| all params: 108312580 \|\| trainable%: 0.5473971721475013	STRING

Slop Phrases7 hits · 10 pts

Severity	File	Line	Snippet	Context
LOW	tests/regression/test_regression.py	189	model output, and load_base_model(name) to load the base model. Don't forget to fix the seed in load_base_model.	STRING
MEDIUM	examples/beft_finetuning/beft_finetuning.py	68	# you can try target_modules=["v"], target_modules=["q"], target_modules=["k"]	COMMENT
LOW	…ture_extraction/peft_lora_embedding_semantic_search.py	157	# make sure to pop weight so that corresponding model is not saved again	COMMENT
MEDIUM	examples/arrow_multitask/arrow_phi3_mini.py	57	This script is mainly meant for demonstration purposes and lightweight evaluation,	STRING
MEDIUM	examples/alora_finetuning/alora_finetuning.py	168	Purely for demonstration purposes. See the [paper](https://huggingface.co/papers/2504.12397)	STRING
LOW	…s/int8_training/peft_adalora_whisper_large_training.py	325	# make sure to pop weight so that corresponding model is not saved again	COMMENT
LOW	src/peft/tuners/lora/intruders.py	115	# we're not modifying the weights since there are no intruders but we make sure to copy the	COMMENT

TODO Padding4 hits · 5 pts

Severity	File	Line	Snippet	Context
LOW	tests/testing_common.py	1829	# TODO: add tests to check if disabling adapters works after calling merge_adapter	STRING
LOW	src/peft/tuners/xlora/layer.py	114	# TODO: implement X-LoRA with Lora+Dora layers	COMMENT
LOW	src/peft/tuners/xlora/layer.py	165	# TODO: implement X-LoRA with Lora+Dora layers	COMMENT
LOW	src/peft/tuners/xlora/layer.py	219	# TODO: implement X-LoRA with Lora+Dora layers	COMMENT

Fake / Example Data1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	docs/source/package_reference/lora.md	742	invocation_string = "placeholder"	CODE

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings