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Tiny language model generates coherent stories with 20K parameters

By PulseAugur Editorial · [1 sources] ·

A researcher has developed MacroStories, a language model with approximately 20,000 parameters, making it significantly smaller than previous models like TinyStories. This model, which requires minimal computational resources and runs quickly on a CPU, can generate coherent narratives of 100-300 words, including a goal, problem, actions, and resolution. The project aims to explore the lower limits of coherent narrative generation in language models. AI

IMPACT Demonstrates the potential for highly efficient, specialized language models that can run on minimal hardware.

RANK_REASON Release of a new, significantly smaller language model focused on a specific capability (narrative generation). [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

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

Tiny language model generates coherent stories with 20K parameters

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Release of a new, significantly smaller language model focused on a specific capability (narrative generation). [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    Trained a ~20K LM (probably smallest) that can still write stories

    <!-- SC_OFF --><div class="md"><p>I’ve been pushing TinyStories-style models downward in size, and this is the smallest one so far:</p> <p>MacroStories — 19,969 parameters, 81 KB FP32</p> <p><a href="https://huggingface.co/raincandy-u/MacroStories">https://huggingface.co/raincand…

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