Tag Archives: lm studio

I Tested 13 Local LLMs on Tool Calling: March 2026

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I built a deterministic eval harness and tested 13 local LLMs on tool calling (function calling) to find out which models work decently well for agentic tasks. The result that surprised me most: a 3.4 GB model scored higher than everything else I tested, including models five times its size. If you’re running a local AI stack with Open WebUI, LM Studio, or any OpenAI-compatible frontend, tool calling is one of the key features that enables agentic behavior. It lets

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ThinkPad P14s AI 9 XH PRO 370 w/96GB RAM & LLM benchmarks

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Running Big LLMs on a Little Workstation: My Adventures with the ThinkPad P14s Gen 6 AMD I’ve been experimenting with large language models (LLMs) lately, and I wanted to see how far I could push things using a (relatively) inexpensive laptop. Enter the ThinkPad P14s Gen 6 AMD—a slim mobile workstation that set me back about $1,600. On paper it’s not exactly a “supercomputer,” but with the right configuration (and my go-to tool, LM Studio), it turns out this little

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