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(SO) Need maybe say "Use llama.cpp"

llama.cpp engine resolves sycophancy and looping issues in IQ3_S model

By PulseAugur Editorial · [1 sources] ·

A user on Reddit's r/LocalLLaMA subreddit reported issues with a specific open-weights model, IQ3_S, exhibiting sycophancy and entering a "doom loop" during generation. The user found that when using the model through the llama.cpp engine, it produced a coherent answer without the problematic looping behavior. This suggests that the inference engine or its configuration might play a significant role in model performance and output quality. AI

IMPACT Highlights how inference engines can mitigate or exacerbate issues like sycophancy and looping in LLMs.

RANK_REASON User reports on the performance of a specific model with a particular inference engine.

Read on r/LocalLLaMA →

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

llama.cpp engine resolves sycophancy and looping issues in IQ3_S model

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8 / 100
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User reports on the performance of a specific model with a particular inference engine.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 (SO) · /u/pand5461 ·

    Need to say "Use llama.cpp"

    <!-- SC_OFF --><div class="md"><p>So I tried that miracle engine everyone is talking about.</p> <p>Asked the IQ3_S model to express its opinion on a post from this sub to measure the tps on a long-ish generation:</p> <blockquote> <p>Can you help with the following problem? </p> <…

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