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Analysis paralysis in long-context models

Analysis paralysis in long-context models refers to a specific inference failure mode where a language model enters an infinite loop of thinking or generation when processing very large contexts, typically exceeding 100,000 tokens^[001-TODO__Gemma_4_26B_本地AI模型深度解析.md].

This behavior is characterized by the model appearing to "get stuck" or overthink, rather than generating a conclusion or output^[001-TODO__Gemma_4_26B_本地AI模型深度解析.md]. It is analogous to the human psychological state of being unable to make a decision due to overthinking or being overwhelmed by data.

Manifestation

This phenomenon is most likely to occur when the input context length reaches extreme limits, such as over 100,000 characters^[001-TODO__Gemma_4_26B_本地AI模型深度解析.md].

Instead of retrieving information or synthesizing an answer, the model may enter a repetitive state or an extended "infinite thinking" (Loop) state^[001-TODO__Gemma_4_26B_本地AI模型深度解析.md]. This renders the model unable to complete the request effectively.

Mitigation Strategies

To prevent analysis paralysis in long-context scenarios, specific sampling parameters and engine configurations can be adjusted^[001-TODO__Gemma_4_26B_本地AI模型深度解析.md]. Verified configurations suggest restricting the model's generative choices to reduce the likelihood of it getting stuck in a loop^[001-TODO__Gemma_4_26B_本地AI模型深度解析.md].

The following parameters act as constraints to keep the model focused:

Parameter Value Function
top-k 20 Limits the next token selection to the 20 most probable tokens^[001-TODO__Gemma_4_26B_本地AI模型深度解析.md].
top-p 0.9 Narrows the sampling pool to tokens within the top 90% probability mass^[001-TODO__Gemma_4_26B_本地AI模型深度解析.md].
min-p 0.1 Sets a minimum probability threshold to filter out low-probability tokens^[001-TODO__Gemma_4_26B_本地AI模型深度解析.md].
repeat-penalty 1.05 Penalizes the repetition of tokens to prevent infinite loops^[001-TODO__Gemma_4_26B_本地AI模型深度解析.md].
temperature (--temp) 1 Controls randomness; a value of 1 helps maintain focus while reducing unnecessary creative divergence^[001-TODO__Gemma_4_26B_本地AI模型深度解析.md].
  • [[Turbo Quant]]
  • [[Infinite Loop]]
  • [[MoE]]
  • [[llama.cpp]]

Sources

  • 001-TODO__Gemma_4_26B_本地AI模型深度解析.md