A language model that runs on 5$ chip. Comes with 12 AI applications. No cloud, no internet. Universal installer + Open source Github + Huggingface available. Test it yourself.
Summary
A language model capable of running on a $5 chip with 12 AI applications, fully offline and open source, available on GitHub and Hugging Face.
Similar Articles
@victormustar: https://x.com/victormustar/status/2059264598407033062
This post describes how to use Hugging Face's ZeroGPU and a coding agent to autonomously deploy AI models, specifically the LongCat talking-avatar model, on a budget.
LiquidAI/LFM2.5-VL-3B · Hugging Face
LiquidAI releases LFM2.5-VL-3B, a 3B multimodal model for on-device deployment with improved OCR, grounding, and efficient inference, available in multiple formats including GGUF, ONNX, and MLX.
@hooeem: https://x.com/hooeem/status/2068752941553476002
A comprehensive guide to setting up GLM 5.2, an open-source AI model that claims to beat GPT-5.5 on coding benchmarks while being cheaper, covering cloud and local setup options.
@DeRonin_: My current local AI setup: - 2x DGX Spark linked (256gb) > GLM 5.2 @ 2bit, reasoning + agent loops - Mac Studio M3 Ultr…
A user describes their fully local AI stack using multiple hardware devices running Chinese models like GLM, Qwen, and Kimi, claiming 87% cost savings compared to frontier models like GPT-5.5 and Opus 4.8, while noting plans to self-host video generation.
@ctatedev: Tiny models are becoming software primitives This 27.5KB model runs locally in your browser, syntax-highlighting code w…
A tiny 27.5KB AI model called gpu-lexer from Vercel Labs runs locally in the browser using WebGPU to syntax-highlight code in any programming language without prior knowledge.