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Open Source LLMs

SmolLM2

🇨🇳 中文 / 🇬🇧 English — 双语介绍
🇨🇳 中文

SmolLM2 是 Hugging Face 团队开源的超小参数量大模型系列(135M/360M/1.7B),主打端侧与边缘设备推理,在数学、常识推理等任务上显著超越同尺寸模型,可跑在手机与树莓派上,是微型 AI 应用的热门基座。 🔗 模型卡: https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B

🇬🇧 English

SmolLM2 is Hugging Face's family of ultra-small open LLMs (135M/360M/1.7B) built for on-device and edge inference. It beats same-size models on math and commonsense reasoning and runs on phones and Raspberry Pi — a popular base for tiny AI apps. 🔗 Model: https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B

📋 Product Info

Category: Open Source LLMs
Listed on: 2026-08-06
Last verified: 2026-08-21
Official site: https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B
Tags: open-source-llm,smol,on-device,efficient,edge

🎯 Why This Tool

SmolLM2 belongs to the Open Source LLMs category on hedirbase. Tagged with: open-source-llm,smol,on-device,efficient,edge.

SmolLM2 is Hugging Face's family of ultra-small open LLMs (135M/360M/1.7B) built for on-device and edge inference. It beats same-size models on math and commonsense reasoning and runs on phones and Ra

✓ Manually reviewed ✅ Last verified: 2026-08-21 🌐 Curated for independents
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