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ai guide

Small Models That Run on Phones: Choices and Constraints in 2026

The main on-device LLMs in 2026 are Gemma 3n, Qwen 3.5 Small, Llama 3.2, Phi-4-mini, Ministral 3, and SmolLM3. Sub-3B quantized models can hit 30-50 tokens/sec on phones with 8GB RAM, but RAM, thermal throttling, and context window remain hard constraints.

#on-device-ai#small-models#mobile#quantization#llama#gemma#phi#qwen#mistral#smollm#mobilellm
ai project

2026 Q1 Open-Source LLM Landscape: From Frontier Models to On-Device, a Complete Survey

2026 Q1 saw a full-blown open-source model explosion: on the LLM front, GLM-5, Kimi K2.5, and Qwen3.5 caught up with closed-source models; Embedding and Reranker are dominated by Qwen3 and BGE; speech has Voxtral TTS and Whisper V3; image has FLUX.2; and video has Wan 2.2 rivaling Sora. This is the complete navigation map.

#open-source#llm#glm-5#kimi#deepseek#qwen#llama#gemma#mistral#minimax#phi#smollm#gpt-oss#moe#on-device-ai#embedding#reranker#tts#stt#image-generation#video-generation#code-model#ollama#vllm