Phi-4-mini and SmolLM3-3B specs detailed in 2026–27 SLM roundup
goyalshaliniuk · x · 2026-11-04
Two more entries in the 7-SLM roundup:
- Phi-4-mini (Microsoft) — 3.8B parameters focused on reasoning and instruction following, 128K-token context, useful for math, coding, and structured tasks; best for lightweight reasoning and developer applications.
- SmolLM3-3B (Hugging Face) — 3B parameters with openly documented training, dual-mode reasoning (switchable via /think or /nothink in the system prompt), 128K context, and six languages; best for research and fine-tuning.
Together with the other posts in the thread these complete the list.
Related event: 7 Small Language Models to Watch in 2026-27: A Scene-Based Roundup(9 posts)→
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