23:54
Gemma 4 26B A4B vs Qwen3.5 35B A3B: MoE Models Battle Locally
Fahd Mirza runs a direct head-to-head comparison of two mixture-of-experts models — Gemma 4 26B A4B (activating 3.8 billion parameter...
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23:13
Gemma-4 31B vs Qwen3.5 27B: Hands-on Local Comparison of Two Top Dense Models
Fahd Mirza pits two of the strongest open-weight dense models against each other in a live local benchmark: Google DeepMind's Gemma 4...
09:47
Function Calling Harness with AutoBE and Ollama
AutoBE is an open-source backend generation framework built around a principle that sets it apart from standard AI coding tools: the...
08:15
Qwen3.5 + Claude Code: Run a Free Local AI Coding Agent
Fahd Mirza walks through building a fully offline, private AI coding agent by combining Anthropic's Claude Code with the Qwen3.5 4-bi...
14:49
Run Qwen3.5 27B Locally on CPU or GPU
Fahd Mirza demonstrates a complete local deployment of Qwen3.5 27B on an Ubuntu system with an Nvidia RTX A6000 (48GB VRAM), walking...