Industry Newsslmon devicellama.cppdeveloper tools
PC SLMs Narrow Accuracy Gap With LLMs
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8.0
In 2025, PC-class small language models (SLMs) improved accuracy by nearly 2x versus 2024, markedly closing the gap with cloud-based large language models (LLMs). Developer tools such as Ollama, ComfyUI, llama.cpp and Unsloth matured, doubling in popularity year-over-year, while downloads of PC-class models grew tenfold. This accelerated on-device AI development expands access for developers and end users.
Scoring Rationale
Clear, significant adoption and accuracy gains drive impact, but lack of independent benchmarking and source attribution limits confidence.
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