Unverified50% confidenceFactExact time
360M parameters falls within the category of small language models, two orders of magnitude smaller than GPT-3's 175B or Llama 3's 8B.
1
Sources
50%
Confidence
Long-term
Relevance
10/22/2026
First Seen
Sources
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Related Claims
UnverifiedLarge language models that can run on-device typically have parameter scales of 1B to 13B, far smaller than cloud-based models such as GPT-4 or Claude with hundreds of billions of parameters.73% similarUnverifiedPhi-3 Mini, Gemma 2B, and Llama 3.2 1B are representative small language models (SLMs), with parameter counts typically ranging from 1B to 7B.72% similarUnverified0.8B parameters places it in the same ultra-small model tier as Meta's LLaMA 3.2 1B and Google's Gemma 2B, close to the lower bound of early GPT-2 (1.5B) in scale.69% similarUnverifiedGPT-3 reached a parameter scale of hundreds of billions (175 billion parameters) and demonstrated few-shot and zero-shot capabilities.67% similarUnverifiedUnder conditions where the target language is explicitly specified in the prompt (L3 prompts), GLM-5.1 achieved a generation accuracy of 72.29%, while Llama-3.3 70B reached only 24.24%.67% similar
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