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Researchers explore small AI models using n-gram techniques

By PulseAugur Editorial · [1 sources] ·

A user on the r/LocalLLaMA subreddit is inquiring about the existence of experimental small language models (9 billion parameters or less) that utilize n-gram or engram techniques. The user notes a lack of such models on Hugging Face and expresses interest in comparing the performance of a small model trained with and without n-grams on the same dataset. AI

IMPACT Exploration of n-gram techniques in small language models could lead to new training methodologies and potentially more efficient model architectures.

RANK_REASON The item is a user inquiry on a forum about potential AI model development, not a release or announcement.

Read on r/LocalLLaMA →

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

Researchers explore small AI models using n-gram techniques

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Commentary
The item is a user inquiry on a forum about potential AI model development, not a release or announcement.
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model release, other
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COVERAGE [1]

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

    Are there any experimental small models (9B or less) which are out or currently being trained using engram/n-grams?

    <!-- SC_OFF --><div class="md"><p>Not sure if anyone out there is working on this, don't see any on huggingface to try out. It might be too new at the moment, but it would be cool to see the difference between a tiny model trained with n-gram and without n-gram on the same datase…

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