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User finds BF16 KV cache effective but warns of LLM hallucinations

The user reports that BF16 for KV cache in language models works reasonably well but leads to hallucinations and a reduced context length. They express concern about the safety and reliability of LLMs when handling large amounts of data, stating that these models can glitch and fail to process all information, creating a false sense of infallibility. AI

IMPACT Highlights potential limitations and safety concerns with current LLM context handling and data processing.

RANK_REASON User opinion and experience with a specific model optimization technique.

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User finds BF16 KV cache effective but warns of LLM hallucinations

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  1. Mastodon — mastodon.social TIER_1 English(EN) · silentexception ·

    I have not tried <BF16 for KV cache, it does work well, relatively speaking, minus endless hallucinations. The downside is a smaller context length (unless some

    I have not tried <BF16 for KV cache, it does work well, relatively speaking, minus endless hallucinations. The downside is a smaller context length (unless someone bought all the DDR5 in the world) but, I really don't think it is safe to entrust a LLM with large quantity of data,…