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Small language model SmolLM2-135M shows strong understanding despite hallucination issues

By PulseAugur Editorial · [1 sources] ·

A user is testing the SmolLM2-135M model on their phone and observed an interesting failure mode. The model correctly understands the question and begins with the right answer, but then hallucinates the remainder of its response. Despite its small size of 135 million parameters, the model demonstrates strong language understanding capabilities. AI

IMPACT Demonstrates that even very small language models can retain significant language understanding, though hallucination remains a challenge.

RANK_REASON The item discusses the performance and limitations of a specific small language model, SmolLM2-135M, which falls under research into model capabilities. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

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

Small language model SmolLM2-135M shows strong understanding despite hallucination issues

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The item discusses the performance and limitations of a specific small language model, SmolLM2-135M, which falls under research into model capabilities. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Testing SmolLM2-135M on my phone Fascinating failure mode: it understands the question perfectly and even starts with the right answer (324m), then completely h

    Testing SmolLM2-135M on my phone Fascinating failure mode: it understands the question perfectly and even starts with the right answer (324m), then completely hallucinates the rest 😅 At just 135M params, language understanding seems still strong! Does someone know how low we can …

    LINKS huggingface.co/…/SmolLM2-135M-Instruct

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