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
07-19 10min comparisons Jamba Reasoning 3B vs SmolLM3-3B: Which Open 3B Model to Run Locally? 07-18 10min comparisons Granite 4.1 8B vs LFM2.5-8B-A1B: Dense vs MoE at 8B for Local Inference 07-16 9min comparisons Granite 4.1 8B vs Ministral 3 8B: Which 8B Model Should You Run Locally? 07-16 9min news SmolLM3-3B: The Fully Open Small Language Model That Punches Way Above Its Weight 07-15 8min comparisons LFM2.5-1.2B-Thinking vs Qwen3.5-0.8B: Which Tiny Model Deserves Your Gigabyte? 07-14 8min guides Run Bonsai 27B Locally: A 27B Model in 3.9 GB, Even on a Phone 07-14 7min comparisons SmolLM3-3B vs Phi-4-mini: Which Small Model Should You Run Locally? 07-13 7min comparisons Jamba Reasoning 3B vs Phi-4-mini-reasoning: Which Small Reasoning Model Should You Run Locally? 07-11 8min comparisons LFM2.5-8B-A1B vs ZAYA1-8B: Which 8B MoE Reasoning Model Should You Run Locally? 07-10 8min comparisons North Mini Code vs Qwen3.6-35B-A3B: Which Local Coding MoE Wins?