Model
SmolLM 360M
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Finetuned 1.5B Qwen to generate bash commands at gpt-4o level using 400k synthetic examples + Fully opensource finetune dataset
Finetuned 1.5B Qwen to generate bash commands at gpt-4o level using 400k synthetic examples + Fully opensource finetune dataset How it started Despite using LLMs for most of the coding, there was always one thing I…
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Study finds token-level entropy blind in small language models, semantic entropy helps
A new arXiv paper investigates whether entropy‑based confidence signals can improve the accuracy of small language models (SLMs) with fewer than 3 billion parameters that run on consumer hardware. The authors evaluate…
1 source primary sourcearXiv cs.CL
Questions about SmolLM 360M
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Finetuned 1.5B Qwen to generate bash commands at gpt-4o level using 400k synthetic examples + Fully opensource finetune dataset (5 October 2026).