peft_issues_merged_500.json

[
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    "number": 3223,
    "title": "TorchaoLoraLinear: __init__() missing get_apply_tensor_subclass kwarg with torchao 0.17 (PEFT 0.19.1)",
    "state": "open",
    "author": "genno-whittlery",
    "created_at": "2026-05-11T13:22:31Z",
    "updated_at": "2026-05-12T10:41:28Z",
    "html_url": "https://github.com/huggingface/peft/issues/3223",
    "labels": [],
    "model": "FLUX.2",
    "trainer": "peft_direct",
    "specialties": [
      "torchao",
      "quantization"
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    "experience_rationale": "Comprehensive bug report with minimal reproducer, full environment table, traceback, and workaround.",
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      "model": "high",
      "trainer_framework": "high",
      "specialties": "high",
      "training_type": "high",
      "peft_method": "high"
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  },
  {
    "number": 3229,
    "title": "[BUG] peft 0.19 target_modules (str) use `set`",
    "state": "open",
    "author": "Jintao-Huang",
    "created_at": "2026-05-12T10:17:08Z",
    "updated_at": "2026-05-12T10:17:08Z",
    "html_url": "https://github.com/huggingface/peft/issues/3229",
    "labels": [],
    "model": "unknown",
    "trainer": "unknown",
    "specialties": [],
    "training_type": "unsure",
    "peft_method": "unknown",
    "experience_score": 6,
    "experience_rationale": "Points to exact source lines and references external issue, but no runnable reproduction or environment details.",
    "confidence": {
      "model": "low",
      "trainer_framework": "low",
      "specialties": "high",
      "training_type": "medium",
      "peft_method": "low"
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  },
  {
    "number": 2310,
    "title": "Comparison of Different Fine-Tuning Techniques for Conversational AI",
    "state": "open",
    "author": "ImamaDev",
    "created_at": "2025-01-07T07:07:50Z",
    "updated_at": "2026-05-12T09:48:54Z",
    "html_url": "https://github.com/huggingface/peft/issues/2310",
    "labels": [
      "good first issue",
      "help wanted",
      "contributions-welcome"
    ],
    "model": "unknown",
    "trainer": "unknown",
    "specialties": [],
    "training_type": "unsure",
    "peft_method": "unknown",
    "experience_score": 4,
    "experience_rationale": "Well-intentioned feature request with list of methods but lacks technical depth, reproducible example, or specific use case.",
    "confidence": {
      "model": "low",
      "trainer_framework": "low",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "low"
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  },
  {
    "number": 3129,
    "title": "Add support for Gemma4ClippableLinear (Gemma 4 QLoRA fails)",
    "state": "closed",
    "author": "dentity007",
    "created_at": "2026-04-02T20:15:42Z",
    "updated_at": "2026-05-11T08:48:32Z",
    "html_url": "https://github.com/huggingface/peft/issues/3129",
    "labels": [],
    "model": "Gemma",
    "trainer": "peft_direct",
    "specialties": [
      "bitsandbytes",
      "quantization",
      "4bit_quantization"
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    "experience_rationale": "Detailed bug report with root cause analysis, minimal workaround example, and clear error message.",
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      "model": "high",
      "trainer_framework": "high",
      "specialties": "high",
      "training_type": "high",
      "peft_method": "high"
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  },
  {
    "number": 3142,
    "title": "Proposal: add MiCA (Minor Component Adaptation) as a PEFT method",
    "state": "open",
    "author": "sr-networks",
    "created_at": "2026-04-09T09:11:49Z",
    "updated_at": "2026-05-10T15:23:41Z",
    "html_url": "https://github.com/huggingface/peft/issues/3142",
    "labels": [],
    "model": "unknown",
    "trainer": "unknown",
    "specialties": [],
    "training_type": "unsure",
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    "experience_rationale": "Well-structured feature proposal with paper reference and implementation plan, but no code or empirical evidence provided.",
    "confidence": {
      "model": "low",
      "trainer_framework": "low",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "high"
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  },
  {
    "number": 3123,
    "title": "Nemotron-3-Nano NemotronHTopkRouter",
    "state": "closed",
    "author": "lucian-student",
    "created_at": "2026-03-30T10:10:19Z",
    "updated_at": "2026-05-10T15:21:58Z",
    "html_url": "https://github.com/huggingface/peft/issues/3123",
    "labels": [],
    "model": "Nemotron",
    "trainer": "peft_direct",
    "specialties": [],
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    "experience_rationale": "Includes layer implementation code and clear request, but lacks reproducible example or training context.",
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      "model": "high",
      "trainer_framework": "medium",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "high"
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  },
  {
    "number": 2944,
    "title": "enusre_weight_tying = True does not respect the model config tie_word_embeddings flag",
    "state": "closed",
    "author": "romitjain",
    "created_at": "2025-12-09T08:36:16Z",
    "updated_at": "2026-05-09T08:10:24Z",
    "html_url": "https://github.com/huggingface/peft/issues/2944",
    "labels": [],
    "model": "Mistral",
    "trainer": "peft_direct",
    "specialties": [],
    "training_type": "supervised",
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    "experience_rationale": "Provides runnable minimal reproduction with assertions and specific source code reference.",
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      "model": "high",
      "trainer_framework": "high",
      "specialties": "high",
      "training_type": "high",
      "peft_method": "high"
    }
  },
  {
    "number": 3182,
    "title": "RFC: Improve code to resolve LoRA variants",
    "state": "open",
    "author": "BenjaminBossan",
    "created_at": "2026-04-21T12:59:01Z",
    "updated_at": "2026-05-08T13:36:31Z",
    "html_url": "https://github.com/huggingface/peft/issues/3182",
    "labels": [],
    "model": "unknown",
    "trainer": "unknown",
    "specialties": [],
    "training_type": "unsure",
    "peft_method": "LoRA",
    "experience_score": 7,
    "experience_rationale": "Technical RFC with code references and concrete proposal, but no empirical data or reproduction.",
    "confidence": {
      "model": "low",
      "trainer_framework": "low",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "high"
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  },
  {
    "number": 3114,
    "title": "GraLoRA merge_and_unload with modules_to_save error",
    "state": "open",
    "author": "JBurtn",
    "created_at": "2026-03-22T23:25:22Z",
    "updated_at": "2026-05-07T15:46:45Z",
    "html_url": "https://github.com/huggingface/peft/issues/3114",
    "labels": [],
    "model": "unknown",
    "trainer": "peft_direct",
    "specialties": [],
    "training_type": "unsure",
    "peft_method": "GraLoRA",
    "experience_score": 7,
    "experience_rationale": "Includes full traceback and version info, but lacks minimal reproduction script and model details.",
    "confidence": {
      "model": "low",
      "trainer_framework": "medium",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "high"
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  },
  {
    "number": 3201,
    "title": "PrefixTuningConfig fails on google/gemma-4-e2b-it: tensor expand size mismatch in attention forward (peft 0.19.1, transformers 5.6.2)",
    "state": "closed",
    "author": "stharrold",
    "created_at": "2026-04-28T11:31:39Z",
    "updated_at": "2026-05-06T09:43:58Z",
    "html_url": "https://github.com/huggingface/peft/issues/3201",
    "labels": [],
    "model": "Gemma",
    "trainer": "peft_direct",
    "specialties": [],
    "training_type": "supervised",
    "peft_method": "Prefix Tuning",
    "experience_score": 9,
    "experience_rationale": "Excellent bug report with complete minimal reproducer, error analysis, and cross-references to similar fixes.",
    "confidence": {
      "model": "high",
      "trainer_framework": "high",
      "specialties": "high",
      "training_type": "high",
      "peft_method": "high"
    }
  },
  {
    "number": 3214,
    "title": "[Windows] RTX 5070 Ti (Blackwell sm_120) - setup and deployment notes",
    "state": "closed",
    "author": "loongmiaow-pixel",
    "created_at": "2026-05-05T03:54:26Z",
    "updated_at": "2026-05-06T09:36:27Z",
    "html_url": "https://github.com/huggingface/peft/issues/3214",
    "labels": [],
    "model": "unknown",
    "trainer": "unknown",
    "specialties": [
      "bitsandbytes"
    ],
    "training_type": "unsure",
    "peft_method": "LoRA",
    "experience_score": 5,
    "experience_rationale": "Provides hardware environment but is a general support question without reproduction or error logs.",
    "confidence": {
      "model": "low",
      "trainer_framework": "low",
      "specialties": "medium",
      "training_type": "low",
      "peft_method": "medium"
    }
  },
  {
    "number": 3211,
    "title": "Feature Request: Improve offline support for custom architectures in get_peft_model_state_dict",
    "state": "closed",
    "author": "nu11secur1ty",
    "created_at": "2026-05-03T05:38:47Z",
    "updated_at": "2026-05-03T12:23:46Z",
    "html_url": "https://github.com/huggingface/peft/issues/3211",
    "labels": [],
    "model": "unknown",
    "trainer": "unknown",
    "specialties": [],
    "training_type": "unsure",
    "peft_method": "unknown",
    "experience_score": 5,
    "experience_rationale": "Clear feature request with proposed logic snippet but no reproduction or concrete model example.",
    "confidence": {
      "model": "low",
      "trainer_framework": "low",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "low"
    }
  },
  {
    "number": 3193,
    "title": "Add torch.nn.Conv2d support in AdaLoRA",
    "state": "closed",
    "author": "PARRYH0TTEr",
    "created_at": "2026-04-24T08:03:19Z",
    "updated_at": "2026-04-30T15:16:30Z",
    "html_url": "https://github.com/huggingface/peft/issues/3193",
    "labels": [],
    "model": "ResNet",
    "trainer": "peft_direct",
    "specialties": [],
    "training_type": "supervised",
    "peft_method": "AdaLoRA",
    "experience_score": 8,
    "experience_rationale": "Provides minimal code example showing LoRA vs AdaLoRA difference on ResNet-18 with clear motivation.",
    "confidence": {
      "model": "high",
      "trainer_framework": "high",
      "specialties": "high",
      "training_type": "high",
      "peft_method": "high"
    }
  },
  {
    "number": 3186,
    "title": "Proposal: add BEFT as a new PEFT method",
    "state": "closed",
    "author": "whubaichuan",
    "created_at": "2026-04-23T07:01:12Z",
    "updated_at": "2026-04-30T12:42:11Z",
    "html_url": "https://github.com/huggingface/peft/issues/3186",
    "labels": [],
    "model": "unknown",
    "trainer": "unknown",
    "specialties": [],
    "training_type": "unsure",
    "peft_method": "BEFT",
    "experience_score": 7,
    "experience_rationale": "Well-written proposal with paper reference and author credentials, but no code or empirical integration test provided.",
    "confidence": {
      "model": "low",
      "trainer_framework": "low",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "high"
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  },
  {
    "number": 3203,
    "title": "Proposal: FIM-guided adaptive LoRA rank allocation (FimConfig + initialize_lora_fim_ranks)",
    "state": "open",
    "author": "ramkrishs",
    "created_at": "2026-04-28T22:01:49Z",
    "updated_at": "2026-04-28T22:01:49Z",
    "html_url": "https://github.com/huggingface/peft/issues/3203",
    "labels": [],
    "model": "unknown",
    "trainer": "unknown",
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    "training_type": "unsure",
    "peft_method": "LoRA",
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    "experience_rationale": "Comprehensive proposal with algorithm, API design, and mathematical formulation, but no implementation or reproduction.",
    "confidence": {
      "model": "low",
      "trainer_framework": "low",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "high"
    }
  },
  {
    "number": 2864,
    "title": "Deal with weight tying consistently",
    "state": "closed",
    "author": "BenjaminBossan",
    "created_at": "2025-10-23T13:30:39Z",
    "updated_at": "2026-04-28T15:57:36Z",
    "html_url": "https://github.com/huggingface/peft/issues/2864",
    "labels": [
      "contributions-welcome"
    ],
    "model": "unknown",
    "trainer": "unknown",
    "specialties": [],
    "training_type": "unsure",
    "peft_method": "LoRA",
    "experience_score": 8,
    "experience_rationale": "Technical design discussion with detailed behavior matrix and references to prior work, but no runnable code or model-specific context.",
    "confidence": {
      "model": "low",
      "trainer_framework": "low",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "high"
    }
  },
  {
    "number": 3191,
    "title": "AuxiliaryTrainingWrapper.forward requires positional `x`, breaks kwargs-only modules in modules_to_save",
    "state": "closed",
    "author": "ved1beta",
    "created_at": "2026-04-23T18:51:32Z",
    "updated_at": "2026-04-26T19:03:26Z",
    "html_url": "https://github.com/huggingface/peft/issues/3191",
    "labels": [],
    "model": "Gemma",
    "trainer": "peft_direct",
    "specialties": [],
    "training_type": "supervised",
    "peft_method": "LoRA",
    "experience_score": 9,
    "experience_rationale": "Excellent bug report with minimal standalone reproducer and real-world Gemma 4 VLM example with YAML config.",
    "confidence": {
      "model": "high",
      "trainer_framework": "high",
      "specialties": "high",
      "training_type": "high",
      "peft_method": "high"
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  },
  {
    "number": 3004,
    "title": "Combining adapters linearly with negative weights is broken",
    "state": "closed",
    "author": "orr-hirundo",
    "created_at": "2026-01-21T11:25:13Z",
    "updated_at": "2026-04-26T15:16:35Z",
    "html_url": "https://github.com/huggingface/peft/issues/3004",
    "labels": [],
    "model": "unknown",
    "trainer": "unknown",
    "specialties": [],
    "training_type": "unsure",
    "peft_method": "LoRA",
    "experience_score": 7,
    "experience_rationale": "Technical bug report referencing exact source lines and explaining mathematical issue, but lacks runnable reproduction.",
    "confidence": {
      "model": "low",
      "trainer_framework": "low",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "high"
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  },
  {
    "number": 3044,
    "title": "TP support for Finetuning using LoRA and other PEFT techniques",
    "state": "closed",
    "author": "quic-meetkuma",
    "created_at": "2026-02-16T08:34:36Z",
    "updated_at": "2026-04-23T15:42:25Z",
    "html_url": "https://github.com/huggingface/peft/issues/3044",
    "labels": [],
    "model": "unknown",
    "trainer": "unknown",
    "specialties": [],
    "training_type": "unsure",
    "peft_method": "LoRA",
    "experience_score": 6,
    "experience_rationale": "Clear feature request with technical reasoning about tensor parallelism, but no concrete reproduction or model example.",
    "confidence": {
      "model": "low",
      "trainer_framework": "low",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "high"
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  },
  {
    "number": 3184,
    "title": "Proposal: support ShadowPEFT method in PEFT",
    "state": "open",
    "author": "SeanLee97",
    "created_at": "2026-04-22T04:43:52Z",
    "updated_at": "2026-04-22T09:36:51Z",
    "html_url": "https://github.com/huggingface/peft/issues/3184",
    "labels": [],
    "model": "unknown",
    "trainer": "unknown",
    "specialties": [],
    "training_type": "unsure",
    "peft_method": "ShadowPEFT",
    "experience_score": 7,
    "experience_rationale": "Well-structured proposal with paper and model collection links, but no code or training example provided.",
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      "model": "low",
      "trainer_framework": "low",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "high"
    }
  },
  {
    "number": 3080,
    "title": "FSDP + torch.nn.Parameter (MoE layer) lora fine-tuning doesn't work",
    "state": "closed",
    "author": "dskhudia",
    "created_at": "2026-03-04T06:39:47Z",
    "updated_at": "2026-04-20T15:30:53Z",
    "html_url": "https://github.com/huggingface/peft/issues/3080",
    "labels": [],
    "model": "GPT-OSS",
    "trainer": "trl",
    "specialties": [
      "FSDP"
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    "training_type": "supervised",
    "peft_method": "LoRA",
    "experience_score": 8,
    "experience_rationale": "Includes full error traceback, reproduction script with training setup, and environment details (8x H100).",
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      "model": "high",
      "trainer_framework": "high",
      "specialties": "high",
      "training_type": "high",
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  },
  {
    "number": 3169,
    "title": "LoRA + BnB INT8 + CPU offload: output tensor on wrong device in tuners/lora/bnb.py",
    "state": "open",
    "author": "sirfyyn",
    "created_at": "2026-04-16T15:57:38Z",
    "updated_at": "2026-04-20T10:14:24Z",
    "html_url": "https://github.com/huggingface/peft/issues/3169",
    "labels": [],
    "model": "Gemma",
    "trainer": "peft_direct",
    "specialties": [
      "bitsandbytes",
      "quantization",
      "8bit_quantization"
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    "training_type": "supervised",
    "peft_method": "LoRA",
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    "experience_rationale": "Detailed bug report with specific fix locations, training context, and link to complete training example patches.",
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      "training_type": "high",
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  },
  {
    "number": 3085,
    "title": "Security: Arbitrary Module Import via Malicious Adapter Config (CWE-94)",
    "state": "closed",
    "author": "spartan8806",
    "created_at": "2026-03-08T22:51:09Z",
    "updated_at": "2026-04-16T16:30:07Z",
    "html_url": "https://github.com/huggingface/peft/issues/3085",
    "labels": [],
    "model": "unknown",
    "trainer": "unknown",
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    "training_type": "unsure",
    "peft_method": "unknown",
    "experience_score": 9,
    "experience_rationale": "Professional security report with CWE classification, detailed attack vectors, and minimal reproduction steps.",
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      "model": "low",
      "trainer_framework": "low",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "low"
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  },
  {
    "number": 3158,
    "title": "AttributeError: module 'torch' has no attribute 'float8_e8m0fnu' when casting adapter dtype on PyTorch 2.5.1",
    "state": "closed",
    "author": "yoogie27",
    "created_at": "2026-04-14T19:12:35Z",
    "updated_at": "2026-04-15T15:38:46Z",
    "html_url": "https://github.com/huggingface/peft/issues/3158",
    "labels": [],
    "model": "unknown",
    "trainer": "unsloth",
    "specialties": [
      "bitsandbytes",
      "quantization",
      "4bit_quantization"
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    "training_type": "unsure",
    "peft_method": "LoRA",
    "experience_score": 7,
    "experience_rationale": "Clear bug report with traceback, temporary workaround, and bash reproduction script for environment setup.",
    "confidence": {
      "model": "low",
      "trainer_framework": "medium",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "high"
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  },
  {
    "number": 3020,
    "title": "LoRA + activation checkpointing breaks model compilation with torch.compile when dropout != 0",
    "state": "closed",
    "author": "raliouat",
    "created_at": "2026-02-03T08:59:09Z",
    "updated_at": "2026-04-14T15:27:28Z",
    "html_url": "https://github.com/huggingface/peft/issues/3020",
    "labels": [],
    "model": "LLaVA",
    "trainer": "accelerate",
    "specialties": [],
    "training_type": "supervised",
    "peft_method": "LoRA",
    "experience_score": 8,
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    "confidence": {
      "model": "high",
      "trainer_framework": "high",
      "specialties": "high",
      "training_type": "high",
      "peft_method": "high"
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  },
  {
    "number": 2970,
    "title": "Add EWoRA to PEFT",
    "state": "closed",
    "author": "HarshKohli",
    "created_at": "2025-12-31T08:47:34Z",
    "updated_at": "2026-04-12T15:14:06Z",
    "html_url": "https://github.com/huggingface/peft/issues/2970",
    "labels": [],
    "model": "unknown",
    "trainer": "unknown",
    "specialties": [],
    "training_type": "unsure",
    "peft_method": "EWoRA",
    "experience_score": 5,
    "experience_rationale": "Brief feature request with paper reference but lacks detail on implementation or model specifics.",
    "confidence": {
      "model": "low",
      "trainer_framework": "low",
      "specialties": "high",
      "training_type": "low",
      "peft_method": "high"
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  },
  {
    "number": 3134,
    "title": "Inquiry About Two-Stage QLoRA Fine-Tuning",
    "state": "closed",
    "author": "AAnirudh07",
    "created_at": "2026-04-07T04:19:32Z",
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    "number": 2945,
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    "number": 1988,
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    "updated_at": "2026-03-24T15:26:09Z",
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    "number": 2916,
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    "updated_at": "2026-03-24T11:23:08Z",
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    "number": 3033,
    "title": "Create Baseline Evaluation Based on DriveLM data off-the-shelf VLMs",
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    "created_at": "2026-02-09T22:51:15Z",
    "updated_at": "2026-03-21T15:06:50Z",
    "html_url": "https://github.com/huggingface/peft/issues/3033",
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    "number": 2861,
    "title": "[FEAT] Integrate WoRA (Filtering-WoRA) into PEFT",
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    "created_at": "2025-10-23T02:36:20Z",
    "updated_at": "2026-03-21T08:46:08Z",
    "html_url": "https://github.com/huggingface/peft/issues/2861",
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    "number": 3110,
    "title": "Discrepancy between layers names from `get_peft_model` and `.load_adapter`",
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    "updated_at": "2026-03-18T14:58:09Z",
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    "number": 3002,
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    "updated_at": "2026-03-17T15:24:33Z",
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  {
    "number": 3012,
    "title": "Question about multiple LoRAs and FSDP",
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    "updated_at": "2026-03-17T15:24:29Z",
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    "number": 2998,
    "title": "Tutorial uses deprecated dataset (financial_phrasebank) that fails to load",
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    "updated_at": "2026-03-17T11:21:48Z",
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    "number": 2882,
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    "updated_at": "2026-03-16T15:25:36Z",
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  {
    "number": 3089,
    "title": "Can LoRA ignore standard modules it doesn't know about?",
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    "updated_at": "2026-03-16T12:07:37Z",
    "html_url": "https://github.com/huggingface/peft/issues/3089",
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    "title": "[FEAT] Integrate FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning",
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    "number": 3016,
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    "updated_at": "2026-03-12T15:19:50Z",
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    "number": 2941,
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    "updated_at": "2026-03-08T15:05:59Z",
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    "number": 2563,
    "title": "Integrate Lily",
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    "updated_at": "2026-03-04T13:08:52Z",
    "html_url": "https://github.com/huggingface/peft/issues/2563",
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    "number": 2928,
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    "updated_at": "2026-03-04T10:46:02Z",
    "html_url": "https://github.com/huggingface/peft/issues/2928",
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    "number": 3073,
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    "updated_at": "2026-03-03T18:01:29Z",
    "html_url": "https://github.com/huggingface/peft/issues/3073",
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    "number": 2948,
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    "updated_at": "2026-03-03T10:07:13Z",
    "html_url": "https://github.com/huggingface/peft/issues/2948",
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    "number": 3026,
    "title": "Add PSOFT to PEFT",
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    "created_at": "2026-02-07T10:20:17Z",
    "updated_at": "2026-03-02T21:49:09Z",
    "html_url": "https://github.com/huggingface/peft/issues/3026",
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    "number": 3075,
    "title": "Error When Loading Private Adapters",
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    "created_at": "2026-03-02T07:02:56Z",
    "updated_at": "2026-03-02T07:06:45Z",
    "html_url": "https://github.com/huggingface/peft/issues/3075",
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  },
  {
    "number": 3025,
    "title": "Detail: removal of `.peft_config` when performing `.unload()`?",
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    "author": "jchwenger",
    "created_at": "2026-02-06T20:13:50Z",
    "updated_at": "2026-02-27T14:02:56Z",
    "html_url": "https://github.com/huggingface/peft/issues/3025",
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  },
  {
    "number": 3049,
    "title": "More efficient PISSA initialization for LoRA (faster/cheaper than current SVD)",
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    "created_at": "2026-02-18T08:59:30Z",
    "updated_at": "2026-02-26T10:13:20Z",
    "html_url": "https://github.com/huggingface/peft/issues/3049",
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