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…Say you're setting up a local LLM for coding, and you settle on three options: Devstral 2 123B, Qwen3 Coder Next 80B, and Gemma 4 31B. Devstral 2 is the most…
…Sign in to your XDA account After years of using ChatGPT and Claude , I'm finally starting to dabble in local LLMs. I'm not replacing cloud AI yet, but running Qwen2…
…Gemma 4 E4B The ‘everyday’ champion If Qwen3.6 is my heavy-duty engineer, Gemma 4 E4B is my nimble, everyday champion. When it comes to local LLMs, we often think that…
…powered Qwen3.6-35B-A3B powering my coding tasks) when I want faster inference speeds. llama.cpp Llama.cpp is an open-source framework that runs large language models locally on your…
…Related I finally found a local LLM I actually want to use for coding Qwen3-Coder-Next is a great model, and it's even better with Claude Code as a harness…
…pace. Qwen 3.5 9B, arguably one of the best small models of the year, runs more than twice as fast on the 5-year-old GPU. Its performance in local AI…
…Qwen 2.5 Coder 32B is the gold standard for local coding. Even though it’s a 32B model, it’s well-optimized for code generation, repair, and reasoning. It’s a…
…rely on practically every day, I’ve got a local voice assistant that initiates audio processing once it hears a wake word, performs the necessary Home Assistant tasks, and reports back with…
…It looked impressive, and they told me that it was using a local Qwen 3.6 35B-A3B model to power it. I later found out what its name was, and I…
…sizes are where the good, everyday-usable local models actually live. Most people never need to run anything larger. For example, I run Qwen 3.6 27B on my AMD Radeon RX…