sample_id stringlengths 21 196 | text stringlengths 105 936k | metadata dict | category stringclasses 6
values |
|---|---|---|---|
huggingface/peft:src/peft/tuners/cartridge/config.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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} | license |
huggingface/peft:src/peft/tuners/cartridge/model.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
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"license": "Apache License 2.0",
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} | license |
huggingface/peft:src/peft/tuners/cartridge/utils.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
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"license": "Apache License 2.0",
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"canary_id": -1,
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"pii_type": "",
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"regex_pattern": "",
"repetition": -1,
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} | license |
huggingface/peft:tests/test_cartridge.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "tests/test_cartridge.py",
"license": "Apache License 2.0",
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"canary_id": -1,
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"regex_pattern": "",
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} | test |
huggingface/peft:examples/bdlora_finetuning/chat.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
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"license": "Apache License 2.0",
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huggingface/peft:examples/gralora_finetuning/gralora_finetuning.py | # This script is based on examples/dora_finetuning/dora_finetuning.py
import os
import torch
from datasets import load_dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
DataCollatorForLanguageModeling,
Trainer,
TrainingArguments,
)
from peft import GraloraConfig, get_peft_mod... | {
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} | function_complex |
huggingface/peft:src/peft/tuners/gralora/config.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/gralora/config.py",
"license": "Apache License 2.0",
"lines": 175,
"canary_id": -1,
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} | license |
huggingface/peft:src/peft/tuners/gralora/layer.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/gralora/layer.py",
"license": "Apache License 2.0",
"lines": 329,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
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} | license |
huggingface/peft:src/peft/tuners/gralora/model.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/gralora/model.py",
"license": "Apache License 2.0",
"lines": 121,
"canary_id": -1,
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} | license |
huggingface/peft:src/peft/tuners/osf/config.py | from __future__ import annotations
from dataclasses import dataclass, field
from typing import Optional, Union
from peft.config import PeftConfig
from peft.utils import PeftType
@dataclass
class OSFConfig(PeftConfig):
"""
Configuration for Orthogonal Subspace Fine-tuning (OSF).
Args:
effective_... | {
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} | function_simple |
huggingface/peft:src/peft/tuners/osf/layer.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/osf/layer.py",
"license": "Apache License 2.0",
"lines": 243,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
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"regex_pattern": "",
"repetition": -1,
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} | license |
huggingface/peft:src/peft/tuners/osf/model.py | from __future__ import annotations
import re
import torch
import torch.nn as nn
from peft.tuners.tuners_utils import BaseTuner
from peft.utils.constants import TRANSFORMERS_MODELS_TO_OSF_TARGET_MODULES_MAPPING
from .layer import OSFLayer, dispatch_default
class OSFModel(BaseTuner):
"""A minimal tuner implemen... | {
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"file_path": "src/peft/tuners/osf/model.py",
"license": "Apache License 2.0",
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} | function_complex |
huggingface/peft:src/peft/tuners/osf/utils.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/osf/utils.py",
"license": "Apache License 2.0",
"lines": 108,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
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} | license |
huggingface/peft:tests/test_osf.py | import pytest
import torch
from torch.testing import assert_close
from peft import OSFConfig, get_peft_model
from peft.tuners.osf.layer import OSFLayer
from peft.tuners.osf.utils import (
decompose_weight_matrix,
reconstruct_weight_matrix,
)
def test_osf_roundtrip():
w = torch.randn(10, 8)
svd = deco... | {
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} | test |
huggingface/peft:examples/delora_finetuning/delora_finetuning.py | # This script is based on examples/randlora_finetuning/randlora_finetuning.py
import os
import torch
from datasets import load_dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
DataCollatorForLanguageModeling,
Trainer,
TrainingArguments,
)
from peft import DeloraConfig, get_p... | {
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"license": "Apache License 2.0",
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} | function_complex |
huggingface/peft:src/peft/tuners/delora/config.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/delora/config.py",
"license": "Apache License 2.0",
"lines": 146,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
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"regex_pattern": "",
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} | license |
huggingface/peft:src/peft/tuners/delora/layer.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/delora/layer.py",
"license": "Apache License 2.0",
"lines": 230,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | license |
huggingface/peft:src/peft/tuners/delora/model.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/delora/model.py",
"license": "Apache License 2.0",
"lines": 85,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | license |
huggingface/peft:examples/waveft_finetuning/waveft_finetuning.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "examples/waveft_finetuning/waveft_finetuning.py",
"license": "Apache License 2.0",
"lines": 165,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | license |
huggingface/peft:src/peft/tuners/waveft/config.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/waveft/config.py",
"license": "Apache License 2.0",
"lines": 254,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
huggingface/peft:src/peft/tuners/waveft/constants.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/waveft/constants.py",
"license": "Apache License 2.0",
"lines": 95,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
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"regex_pattern": "",
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} | license |
huggingface/peft:src/peft/tuners/waveft/layer.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/waveft/layer.py",
"license": "Apache License 2.0",
"lines": 252,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | license |
huggingface/peft:src/peft/tuners/waveft/model.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/waveft/model.py",
"license": "Apache License 2.0",
"lines": 170,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | license |
huggingface/peft:src/peft/tuners/waveft/waverec2d.py | # Copyright 2021 Moritz Wolter
# Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the EUPL v1.2
#
# This file contains code derived from PyTorch-Wavelet-Toolbox:
# https://github.com/v0lta/PyTorch-Wavelet-Toolbox
#
# Original work by Moritz Wolter, licensed under EUPL v1.2
# Modifications and integr... | {
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"file_path": "src/peft/tuners/waveft/waverec2d.py",
"license": "Apache License 2.0",
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"canary_id": -1,
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} | license |
huggingface/peft:src/peft/functional.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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"license": "Apache License 2.0",
"lines": 30,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
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} | license |
huggingface/peft:examples/arrow_multitask/arrow_phi3_mini.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "examples/arrow_multitask/arrow_phi3_mini.py",
"license": "Apache License 2.0",
"lines": 319,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
huggingface/peft:src/peft/tuners/lora/arrow.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/lora/arrow.py",
"license": "Apache License 2.0",
"lines": 394,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | license |
huggingface/peft:tests/test_arrow.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "tests/test_arrow.py",
"license": "Apache License 2.0",
"lines": 432,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
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} | test |
huggingface/peft:examples/alora_finetuning/alora_finetuning.py | import os
import torch
from datasets import load_dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
DataCollatorForLanguageModeling,
Trainer,
TrainingArguments,
)
from peft import LoraConfig, PeftModel, get_peft_model, prepare_model_for_kbit_training
... | {
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"license": "Apache License 2.0",
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} | function_complex |
huggingface/peft:examples/road_finetuning/road_finetuning.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
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"license": "Apache License 2.0",
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"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
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} | license |
huggingface/peft:src/peft/tuners/road/bnb.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
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"license": "Apache License 2.0",
"lines": 340,
"canary_id": -1,
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} | license |
huggingface/peft:src/peft/tuners/road/config.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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"canary_id": -1,
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} | license |
huggingface/peft:src/peft/tuners/road/layer.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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huggingface/peft:src/peft/tuners/road/model.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
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huggingface/peft:src/peft/utils/warning.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
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huggingface/peft:method_comparison/text_generation_benchmark/data.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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huggingface/peft:method_comparison/text_generation_benchmark/run.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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huggingface/peft:method_comparison/text_generation_benchmark/run_base.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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huggingface/peft:method_comparison/text_generation_benchmark/utils.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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} | license |
huggingface/peft:examples/miss_finetuning/miss_finetuning.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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} | license |
huggingface/peft:scripts/convert-bone-to-miss.py | #!/usr/bin/env python3
# Copyright (c) 2025 Your Organization/Project. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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huggingface/peft:src/peft/tuners/miss/config.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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huggingface/peft:src/peft/tuners/miss/layer.py | # Copyright 2024-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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huggingface/peft:src/peft/tuners/miss/model.py | # Copyright 2024-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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huggingface/peft:tests/test_target_parameters.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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} | test |
huggingface/peft:examples/shira_finetuning/shira_finetuning.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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huggingface/peft:src/peft/tuners/shira/config.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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} | license |
huggingface/peft:src/peft/tuners/shira/layer.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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huggingface/peft:src/peft/tuners/shira/mask_functions.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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huggingface/peft:src/peft/tuners/shira/model.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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huggingface/peft:tests/test_shira.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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} | test |
huggingface/peft:src/peft/tuners/c3a/config.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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huggingface/peft:src/peft/tuners/c3a/layer.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
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"license": "Apache License 2.0",
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} | license |
huggingface/peft:src/peft/tuners/c3a/model.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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} | license |
huggingface/peft:src/peft/tuners/c3a/utils.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
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} | license |
huggingface/peft:src/peft/tuners/oft/aqlm.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/oft/aqlm.py",
"license": "Apache License 2.0",
"lines": 86,
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} | license |
huggingface/peft:src/peft/tuners/oft/awq.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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} | license |
huggingface/peft:src/peft/tuners/oft/bnb.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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"file_path": "src/peft/tuners/oft/bnb.py",
"license": "Apache License 2.0",
"lines": 321,
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huggingface/peft:src/peft/tuners/oft/eetq.py | # Copyright 2024-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
"repo_id": "huggingface/peft",
"file_path": "src/peft/tuners/oft/eetq.py",
"license": "Apache License 2.0",
"lines": 95,
"canary_id": -1,
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huggingface/peft:src/peft/tuners/oft/gptq.py | # Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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"file_path": "src/peft/tuners/oft/gptq.py",
"license": "Apache License 2.0",
"lines": 89,
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} | license |
huggingface/peft:src/peft/tuners/oft/hqq.py | # Copyright 2024-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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"license": "Apache License 2.0",
"lines": 152,
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huggingface/peft:src/peft/tuners/oft/inc.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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"file_path": "src/peft/tuners/oft/inc.py",
"license": "Apache License 2.0",
"lines": 61,
"canary_id": -1,
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huggingface/peft:examples/qalora_finetuning/qalora_gptq_finetuning.py | #!/usr/bin/env python3
"""
Training script for fine-tuning language models with QALoRA using GPTQ quantization.
This script supports cached quantization to avoid repeating expensive quantization processes.
"""
import argparse
import os
import torch
from datasets import load_dataset
from transformers import (
Auto... | {
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} | function_complex |
huggingface/peft:method_comparison/test_sanitizer.py | import pandas as pd
import pytest
from .sanitizer import parse_and_filter
@pytest.fixture
def df_products():
data = {
'product_id': [101, 102, 103, 104, 105, 106],
'category': ['Electronics', 'Books', 'Electronics', 'Home Goods', 'Books', 'Electronics'],
'price': [799.99, 19.99, 49.50, 12... | {
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"license": "Apache License 2.0",
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} | test |
huggingface/peft:tests/test_lora_variants.py | # Copyright 2025-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | {
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"file_path": "tests/test_lora_variants.py",
"license": "Apache License 2.0",
"lines": 257,
"canary_id": -1,
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"provider": "",
"regex_pattern": "",
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} | test |
huggingface/peft:examples/randlora_finetuning/randlora_finetuning.py | # This script is based on examples/dora_finetuning/dora_finetuning.py
import os
import torch
from datasets import load_dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
DataCollatorForLanguageModeling,
Trainer,
TrainingArguments,
)
from peft import Lor... | {
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"file_path": "examples/randlora_finetuning/randlora_finetuning.py",
"license": "Apache License 2.0",
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huggingface/pytorch-image-models:timm/task/token_distillation.py | """Token-based distillation training task for models with distillation heads."""
import logging
from typing import Dict, Optional, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from timm.models import create_model
from timm.utils import unwrap_model
from .task import TrainingTask
_logger ... | {
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"file_path": "timm/task/token_distillation.py",
"license": "Apache License 2.0",
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} | function_complex |
huggingface/pytorch-image-models:tests/test_scheduler.py | """ Scheduler Tests
Tests for learning rate schedulers in timm.scheduler.
"""
import math
import pytest
import torch
from torch.nn import Parameter
from timm.scheduler import (
CosineLRScheduler,
StepLRScheduler,
MultiStepLRScheduler,
PlateauLRScheduler,
PolyLRScheduler,
TanhLRScheduler,
)
fro... | {
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} | test |
huggingface/pytorch-image-models:timm/models/csatv2.py | """CSATv2
A frequency-domain vision model using DCT transforms with spatial attention.
Paper: TBD
This model created by members of MLPA Lab. Welcome feedback and suggestion, questions.
gusdlf93@naver.com
juno.demie.oh@gmail.com
Refined for timm by Ross Wightman
"""
import math
import warnings
from functools import ... | {
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huggingface/pytorch-image-models:timm/layers/diff_attention.py | """Differential Attention
Paper: 'Differential Transformer' - https://arxiv.org/abs/2410.05258
Reference impl: https://github.com/microsoft/unilm/tree/master/Diff-Transformer
Hacked together by / Copyright 2024, Ross Wightman
"""
import math
from typing import Optional, Type
import torch
import torch.nn as nn
impor... | {
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"file_path": "timm/layers/diff_attention.py",
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huggingface/pytorch-image-models:tests/test_layers_pool.py | """Tests for timm pooling layers."""
import pytest
import torch
import torch.nn as nn
import importlib
import os
torch_backend = os.environ.get('TORCH_BACKEND')
if torch_backend is not None:
importlib.import_module(torch_backend)
torch_device = os.environ.get('TORCH_DEVICE', 'cpu')
# Adaptive Avg/Max Pooling Te... | {
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huggingface/pytorch-image-models:timm/layers/other_pool.py | """ Non-Local Attention Pooling Layers
A collection of global pooling layers that go beyond simple avg/max pooling.
LSEPool - LogSumExp pooling, a smooth approximation between avg and max pooling
SimPool - Attention-based pooling from 'Keep It SimPool' (ICCV 2023)
Based on implementations from:
* LSE Pooling: custom... | {
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"file_path": "timm/layers/other_pool.py",
"license": "Apache License 2.0",
"lines": 241,
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} | function_complex |
huggingface/pytorch-image-models:tests/test_layers_drop.py | """Tests for timm.layers.drop module (DropBlock, DropPath)."""
import torch
import pytest
from timm.layers.drop import drop_block_2d, DropBlock2d, drop_path, DropPath
class TestDropBlock2d:
"""Test drop_block_2d function and DropBlock2d module."""
def test_drop_block_2d_output_shape(self):
"""Test t... | {
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huggingface/pytorch-image-models:timm/task/classification.py | """Classification training task."""
import logging
from typing import Callable, Dict, Optional, Union
import torch
import torch.nn as nn
from .task import TrainingTask
_logger = logging.getLogger(__name__)
class ClassificationTask(TrainingTask):
"""Standard supervised classification task.
Simple task that... | {
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"file_path": "timm/task/classification.py",
"license": "Apache License 2.0",
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} | documentation |
huggingface/pytorch-image-models:timm/task/distillation.py | """Knowledge distillation training tasks and components."""
import logging
from typing import Dict, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from timm.models import create_model
from timm.utils import unwrap_model
from .task import TrainingTask
_logger = logging.get... | {
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huggingface/pytorch-image-models:timm/task/task.py | """Base training task abstraction.
This module provides the base TrainingTask class that encapsulates a complete
forward pass including loss computation. Tasks return a dictionary with loss
components and outputs for logging.
"""
from typing import Dict, Optional
import torch
import torch.nn as nn
class TrainingTas... | {
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} | documentation |
huggingface/pytorch-image-models:timm/layers/coord_attn.py | """ Coordinate Attention and Variants
Coordinate Attention decomposes channel attention into two 1D feature encoding processes
to capture long-range dependencies with precise positional information. This module includes
the original implementation along with simplified and other variants.
Papers / References:
- Coord... | {
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"file_path": "timm/layers/coord_attn.py",
"license": "Apache License 2.0",
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} | function_complex |
huggingface/pytorch-image-models:timm/optim/muon.py | """ Muon Optimizer
Improved Muon optimizer implementation with flexible handling of high-dimensional tensors.
Combines PyTorch-style structure with options for:
- Batched spatial processing for convolutions in addition to flatten
- Optional spatial normalization
- Selectable coefficient presets
- Automatic fallback t... | {
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"file_path": "timm/optim/muon.py",
"license": "Apache License 2.0",
"lines": 876,
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} | function_complex |
huggingface/pytorch-image-models:timm/layers/_fx.py | from typing import Callable, Dict, List, Optional, Union, Tuple, Type
import torch
from torch import nn
try:
# NOTE we wrap torchvision fns to use timm leaf / no trace definitions
from torchvision.models.feature_extraction import create_feature_extractor as _create_feature_extractor
from torchvision.model... | {
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"file_path": "timm/layers/_fx.py",
"license": "Apache License 2.0",
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} | function_simple |
huggingface/pytorch-image-models:timm/models/mobilenetv5.py | from functools import partial
from typing import Callable, Dict, List, Optional, Sequence, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from timm.data import IMAGENET_INCEPTION_MEAN, IMAGENET_INCEPTION_STD
from timm.layers import (
SelectAdaptivePool2d,
Linear,
LayerType... | {
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"file_path": "timm/models/mobilenetv5.py",
"license": "Apache License 2.0",
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} | function_complex |
huggingface/pytorch-image-models:timm/data/naflex_mixup.py | """Variable‑size Mixup / CutMix utilities for NaFlex data loaders.
This module provides:
* `mix_batch_variable_size` – pixel‑level Mixup/CutMix that operates on a
list of images whose spatial sizes differ, mixing only their central overlap
so no resizing is required.
* `pairwise_mixup_target` – builds soft‑label ... | {
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"file_path": "timm/data/naflex_mixup.py",
"license": "Apache License 2.0",
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} | function_complex |
huggingface/pytorch-image-models:timm/data/naflex_random_erasing.py | """Patch-level random erasing augmentation for NaFlex Vision Transformers.
This module implements random erasing specifically designed for patchified images,
operating at the patch granularity rather than pixel level. It supports two modes:
- 'patch': Randomly erases individual patches (speckle-like noise)
- 'region':... | {
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"file_path": "timm/data/naflex_random_erasing.py",
"license": "Apache License 2.0",
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huggingface/pytorch-image-models:timm/models/naflexvit.py | """ NaFlex Vision Transformer
An improved version of the Vision Transformer with:
1. Encapsulated embedding and position encoding in a single module
2. Support for linear patch embedding on pre-patchified inputs
3. Support for NaFlex variable aspect, variable resolution
4. Support for FlexiViT variable patch size
5. S... | {
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"file_path": "timm/models/naflexvit.py",
"license": "Apache License 2.0",
"lines": 1964,
"canary_id": -1,
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} | function_complex |
huggingface/pytorch-image-models:timm/models/fasternet.py | """FasterNet
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
- paper: https://arxiv.org/abs/2303.03667
- code: https://github.com/JierunChen/FasterNet
@article{chen2023run,
title={Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks},
author={Chen, Jierun and Kao, Shiu-hong and He, Hao... | {
"repo_id": "huggingface/pytorch-image-models",
"file_path": "timm/models/fasternet.py",
"license": "Apache License 2.0",
"lines": 437,
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} | function_complex |
huggingface/pytorch-image-models:timm/layers/pool1d.py | import torch
def global_pool_nlc(
x: torch.Tensor,
pool_type: str = 'token',
num_prefix_tokens: int = 1,
reduce_include_prefix: bool = False,
):
"""Apply global pooling to tensor in NLC format.
Args:
x: Input tensor in (batch, length, channels) format.
pool_typ... | {
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} | function_simple |
huggingface/pytorch-image-models:timm/layers/attention.py | from typing import Final, Optional, Type
import torch
from torch import nn as nn
from torch.nn import functional as F
from ._fx import register_notrace_function
from .config import use_fused_attn
from .pos_embed_sincos import apply_rot_embed_cat
@torch.fx.wrap
@register_notrace_function
def maybe_add_mask(scores: t... | {
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huggingface/smolagents:src/smolagents/serialization.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/L... | {
"repo_id": "huggingface/smolagents",
"file_path": "src/smolagents/serialization.py",
"license": "Apache License 2.0",
"lines": 435,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
huggingface/smolagents:tests/test_serialization.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/L... | {
"repo_id": "huggingface/smolagents",
"file_path": "tests/test_serialization.py",
"license": "Apache License 2.0",
"lines": 727,
"canary_id": -1,
"canary_value": "",
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"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
huggingface/smolagents:docs/source/es/_config.py | # docstyle-ignore
INSTALL_CONTENT = """
# Installation
! pip install smolagents
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/smolagents.git
"""
notebook_first_cells = [{"type": "code", "content": INST... | {
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"file_path": "docs/source/es/_config.py",
"license": "Apache License 2.0",
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} | documentation |
huggingface/smolagents:tests/test_vision_web_browser.py | """Test XPath injection vulnerability fix in vision_web_browser.py"""
from unittest.mock import Mock, patch
import pytest
from smolagents.vision_web_browser import _escape_xpath_string, search_item_ctrl_f
@pytest.fixture
def mock_driver():
"""Mock Selenium WebDriver"""
driver = Mock()
driver.find_eleme... | {
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huggingface/smolagents:examples/structured_output_tool.py | # How to run with uv:
# uv run structured_output_tool.py
#
# Modify the smolagents dependency to point to the local smolagents repo or
# remove `@ file:///<path-to-smolagents>`
#
# /// script
# requires-python = ">=3.10"
# dependencies = [
# "smolagents[mcp,litellm] @ file:///<path-to-smolagents>",
# "pydantic",
... | {
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huggingface/smolagents:tests/test_telemetry.py | # coding=utf-8
# Copyright 2025 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | {
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"regex_pattern": "",
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} | test |
huggingface/smolagents:examples/async_agent/main.py | """
Async CodeAgent Example with Starlette
This example demonstrates how to use a CodeAgent in an async Starlette app,
running the agent in a background thread using anyio.to_thread.run_sync.
"""
import anyio.to_thread
from starlette.applications import Starlette
from starlette.requests import Request
from starlette.... | {
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} | function_simple |
huggingface/smolagents:examples/plan_customization/plan_customization.py | """
Plan Customization Example
This example demonstrates how to use step callbacks to interrupt the agent after
plan creation, allow user interaction to approve or modify the plan, and then
resume execution while preserving agent memory.
Key concepts demonstrated:
1. Step callbacks to interrupt after PlanningStep
2. ... | {
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huggingface/smolagents:examples/server/main.py | from anyio import to_thread
from starlette.applications import Starlette
from starlette.responses import HTMLResponse, JSONResponse
from starlette.routing import Route
from smolagents import CodeAgent, InferenceClientModel, MCPClient
# Create an MCP client to connect to the MCP server
mcp_server_parameters = {
"... | {
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huggingface/transformers:tests/trainer/test_trainer_accelerator.py | # Copyright 2018 the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | {
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"file_path": "tests/trainer/test_trainer_accelerator.py",
"license": "Apache License 2.0",
"lines": 223,
"canary_id": -1,
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"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
huggingface/transformers:tests/trainer/test_trainer_checkpointing.py | # Copyright 2018 the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | {
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"file_path": "tests/trainer/test_trainer_checkpointing.py",
"license": "Apache License 2.0",
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} | test |
huggingface/transformers:tests/trainer/test_trainer_evaluation.py | # Copyright 2018 the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | {
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huggingface/transformers:tests/trainer/test_trainer_hyperparameter.py | # Copyright 2018 the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | {
"repo_id": "huggingface/transformers",
"file_path": "tests/trainer/test_trainer_hyperparameter.py",
"license": "Apache License 2.0",
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} | test |
huggingface/transformers:tests/trainer/trainer_test_utils.py | # Copyright 2018 the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | {
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"license": "Apache License 2.0",
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"pii_type": "",
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"repetition": -1,
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} | test |
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