08:35 Research & Benchmarks2 months ago Agents-A1: Scaling the Horizon, Not the Parameters – Test Locally Fahd Mirza puts Agents-A1 through its paces on a local Ubuntu system equipped with an NVIDIA RTX 6000 48GB GPU. Agents-A1 is a 35 bil... 0 comments 1.4K views
11:00 Coding & Dev Tools2 months ago Ornith 1.0 35B in GGUF – Beats Models 10x Its Size – Run Locally Fahd Mirza puts Ornith 1.0 35B through its paces in this hands-on local deployment walkthrough. Ornith is a mixture-of-experts model... 0 comments 6.1K views
14:48 Business & Strategy2 months ago Turbocharge Your Agent’s Retrieval with TurboQuant – Shashi Jagtap, Superagentic AI Shashi Jagtap, founder of SuperAgentic AI, presents at the AI Engineer conference on TurboQuant — a vector embedding compression algo... 0 comments 598 views
14:08 Benchmarks2 months ago Qwythos 9B: When You Train a Small Model on Claude Traces: Run Locally Fahd Mirza introduces and benchmarks Qwythos 9B, a reasoning-focused open-source model fine-tuned on over 500 million tokens of Claud... 0 comments 2.9K views
08:51 Tutorials2 months ago OpenJarvis + Ollama: Local AI Agent That Tracks Every Watt Fahd Mirza walks through the installation and hands-on testing of Open Jarvis, a newly released local-first personal AI framework dev... 0 comments 2.1K views
14:42 Tutorials2 months ago Qwen3.6 27B (Pi-Reasoning GGUF) – Fine-Tuned for Local Heavy AI Agent Fahd Mirza tests Pi-Reasoning, a community fine-tune of Qwen 3.6 27B built specifically for agentic coding — tasks like reading files... 0 comments 3.8K views
08:12 Research & Benchmarks2 months ago GLM 5.2 – Why Everyone is Loving It? And How to Run It Locally Fahd Mirza covers GLM-5.2, the 744 billion parameter mixture-of-experts model from Chinese AI lab Zhipu AI that has become one of the... 0 comments 420 views
16:47 Research & Benchmarks2 months ago Google QAT vs Unsloth QAT + MTP – Which Gemma 4 12B Is Actually Better? This video pits two quantized versions of Google's Gemma 4 12B against each other in a practical, locally-run benchmark: Google's own... 0 comments 3.1K views
13:08 Tutorials3 months ago Gemma 4 12B QAT + MTP on llama.cpp Locally – Twice the Speed, Same Quality? This video by Fahd Mirza walks through running Google's newly released Gemma 4 12B QAT (Quantization-Aware Training) model alongside... 0 comments 2.8K views
06:01 Coding & Dev Tools3 months ago Run Google’s newest 12B AI on a phone? Yes, it’s possible! The Alphastack channel walks through a custom cross-platform app that runs Google's Gemma 4 12B multimodal model entirely on-device —... 0 comments 64 views