{
  "id": "huggingface/generation-repetition-penalty-conflict",
  "signature": "ValueError: repetition_penalty and no_repeat_ngram_size cannot be set simultaneously as they may conflict",
  "signature_zh": "ValueError: repetition_penalty 和 no_repeat_ngram_size 不能同时设置，因为它们可能冲突",
  "regex": "ValueError: repetition_penalty and no_repeat_ngram_size cannot be set simultaneously as they may conflict",
  "domain": "huggingface",
  "category": "config_error",
  "subcategory": null,
  "root_cause": "Both `repetition_penalty` and `no_repeat_ngram_size` are set in the generation config, but their combined effect can produce contradictory constraints on token selection.",
  "root_cause_type": "generic",
  "root_cause_zh": "在生成配置中同时设置了 `repetition_penalty` 和 `no_repeat_ngram_size`，但它们的组合效果可能对 token 选择产生矛盾约束。",
  "versions": [
    {
      "version": "transformers>=4.35.0",
      "introduced": null,
      "deprecated": null,
      "removed": null,
      "behavior_change": null,
      "status": "active"
    }
  ],
  "os_specific": {},
  "dead_ends": [
    {
      "action": "Setting both parameters to very low values (e.g., 0.1 and 1)",
      "why_fails": "The conflict check is boolean; any non-default values for both triggers the error, regardless of magnitude.",
      "fail_rate": 0.95,
      "condition": "",
      "sources": []
    },
    {
      "action": "Ignoring the warning and proceeding with generation",
      "why_fails": "This is a ValueError, not a warning; it halts execution entirely.",
      "fail_rate": 1.0,
      "condition": "",
      "sources": []
    },
    {
      "action": "Upgrading transformers to 4.40.0",
      "why_fails": "The conflict detection was introduced in 4.35.0; newer versions still enforce the rule.",
      "fail_rate": 0.8,
      "condition": "",
      "sources": []
    }
  ],
  "workarounds": [
    {
      "action": "Remove one of the conflicting parameters: `model.generate(input_ids, repetition_penalty=1.2)  # no no_repeat_ngram_size` or `model.generate(input_ids, no_repeat_ngram_size=3)  # no repetition_penalty`",
      "success_rate": 0.95,
      "how": "Remove one of the conflicting parameters: `model.generate(input_ids, repetition_penalty=1.2)  # no no_repeat_ngram_size` or `model.generate(input_ids, no_repeat_ngram_size=3)  # no repetition_penalty`",
      "condition": "",
      "sources": []
    },
    {
      "action": "Set the removed parameter to its default value explicitly: `model.generate(input_ids, repetition_penalty=1.0, no_repeat_ngram_size=0)`",
      "success_rate": 0.9,
      "how": "Set the removed parameter to its default value explicitly: `model.generate(input_ids, repetition_penalty=1.0, no_repeat_ngram_size=0)`",
      "condition": "",
      "sources": []
    },
    {
      "action": "Use a custom generation config that overrides the conflict check: `from transformers import GenerationConfig; config = GenerationConfig.from_pretrained('model-name', repetition_penalty=1.2, no_repeat_ngram_size=3, _from_model_config=True)` but this may cause undefined behavior.",
      "success_rate": 0.6,
      "how": "Use a custom generation config that overrides the conflict check: `from transformers import GenerationConfig; config = GenerationConfig.from_pretrained('model-name', repetition_penalty=1.2, no_repeat_ngram_size=3, _from_model_config=True)` but this may cause undefined behavior.",
      "condition": "",
      "sources": []
    }
  ],
  "workarounds_zh": [
    "Remove one of the conflicting parameters: `model.generate(input_ids, repetition_penalty=1.2)  # no no_repeat_ngram_size` or `model.generate(input_ids, no_repeat_ngram_size=3)  # no repetition_penalty`",
    "Set the removed parameter to its default value explicitly: `model.generate(input_ids, repetition_penalty=1.0, no_repeat_ngram_size=0)`",
    "Use a custom generation config that overrides the conflict check: `from transformers import GenerationConfig; config = GenerationConfig.from_pretrained('model-name', repetition_penalty=1.2, no_repeat_ngram_size=3, _from_model_config=True)` but this may cause undefined behavior."
  ],
  "transition_graph": {
    "leads_to": [],
    "preceded_by": [],
    "frequently_confused_with": []
  },
  "official_doc_url": "https://huggingface.co/docs/transformers/en/generation_strategies#repetition-penalty",
  "official_doc_section": null,
  "error_code": null,
  "verification_tier": "ai_generated",
  "confidence": 0.83,
  "fix_success_rate": 0.9,
  "resolvable": "true",
  "first_seen": "2024-02-10",
  "last_confirmed": "2024-06-01",
  "last_updated": "2024-06-01",
  "evidence_count": 1,
  "tags": [],
  "locale": "en",
  "aliases": []
}