clevis@tinyweights:/home$ cat ./welcome.txt
> Small language models like Gemma, Phi, SmolLM, and Qwen, run locally. Benchmarks, quantization, and hands-on deployment guides for small LLMs on real hardware.
> New releases tested the week they drop. Straight talk on what is worth running and what is not.
46 posts · last updated 2026-07-19 · all writing CC BY 4.0
clevis@tinyweights:/home$ ls -lh --sort=time
03-25
8min
guides
Deep Dive: Running Reka Edge Locally for Frontier-Level Vision AI on Mac and PC
03-24
7min
news
AI in Your Pocket: How Liquid AI’s Apollo App Lets You Run Chatbots Completely Offline
03-24
6min
analysis
The 'Small' Model That Does It All: How Mistral Small 4's Unified Architecture Kills the Need for Specialized AI
03-23
6min
analysis
Out of the Cloud, Into the Wild: How Small AI Models and Physical AI Are Taking Over the Edge
03-22
9min
guides
Fine-Tune Gemma 3 270M on Apple Silicon with MLX-LM and Python
03-22
11min
news
GPT-5.4 Nano: The Fastest, Cheapest OpenAI Model Yet — What Developers Need to Know