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Users seek to control DwarfStar 4 model's excessive verbosity

Users are seeking methods to control the excessive "thinking" or verbosity of the DwarfStar 4 language model. Current solutions like limiting output tokens are considered insufficient, and users are exploring alternative strategies. These include adjusting Llama parameters or employing specific system prompting techniques to manage the model's output. AI

IMPACT Users are exploring methods to fine-tune model behavior for more concise outputs.

RANK_REASON User discussion about managing a specific model's output behavior.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Users seek to control DwarfStar 4 model's excessive verbosity

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/youcloudsofdoom ·

    Strategies for capping thinking on ds4 flash 0731

    <!-- SC_OFF --><div class="md"><p>I like the outputs from this model, but DAMN does it over think. Has anyone found a robust fix for this that isn't just capping output tokens? Anyone working on a 'thinking cap' for it? Some combo of llama params, or (system?) prompting technique…