Local LLMs

Unlocking the Power of Qwen3-Coder: Run the State-of-the-Art AI Model Locally on Your Device In the rapidly evolving landscape of artificial intelligence, having the ability to deploy advanced models locally…

Optimizing Quantized Large Language Models for Less Than 32GB of VRAM: An In-Depth Experimental Analysis Introduction As the deployment of large language models (LLMs) continues to expand, the demand for…

Exploring a Fully Local AI-Based Fitness Trainer Using Qwen 2.5 VL 7B on a NVIDIA RTX 3090 In the pursuit of accessible and private AI fitness solutions, recent advancements have…

Enhancing Patient Diagnosis Through AI: A Personal Journey Using GPT-O1 Pro Introduction In today’s complex medical landscape, many patients find themselves navigating a frustrating maze of unresolved symptoms and multiple…

Exploring the Overthinking Tendencies of Qwen 3.5: A Playful Observation Artificial intelligence models continue to evolve, demonstrating increasingly sophisticated behaviors that often mirror human traits. One such intriguing trait observed…

Unlocking an $800 Mining GPU for Long-Context AI Inference: A Deep Dive into Building a 64GB, Uncensored Coding Server at 84 Tokens/Sec Introduction In recent days, I have transformed a…

Comprehensive Guide to Fine-Tuning Large Language Models (LLMs): A Complete 101 In the rapidly evolving field of artificial intelligence, large language models (LLMs) have become a cornerstone for numerous innovative…

Deciphering Qwen-3.8-35B-A3B: A Closer Look Amidst Uncertainty Recent discussions within the AI community have generated considerable curiosity surrounding the model designated as Qwen-3.8-35B-A3B. Speculation has been rife, fueled by cryptic…

Exploring Extended Context Capabilities with the RTX 5090 and Qwen3.8 Flash-Next IQ3_XXS In recent developments within the field of large language models (LLMs), the capability to process substantial amounts of…

Analyzing AI Language Models Through Political Compass Testing: A Case Study with Qwen3.8 27B In recent years, discussions surrounding the potential political biases embedded within AI language models such as…