Model Families 17 posts
Local LLM memory guide: Scaling jump from standard models
"The jump from a standard language model to a fully autonomous agent represents a massive shift in computational requirements." Choosing a local LLM…
RTX 4090 LLM selection: Guide to 24GB VRAM constraints
"The massive VRAM capacity of a high end consumer card changes everything when you sit down to load a model." Users should prioritize quantized…
LLM for 16GB RAM: Guide to model selection and performance
"Running a large language model on a machine with limited resources requires a delicate balance between parameter count and quantization levels."…
Local llm hardware acceleration: Guide to modern computing
"The evolution of processing power has always dictated the boundaries of what software can achieve, moving from simple calculations to complex neural…
AI developer tools guide: 44% see agents as finance risk
"AI agents would require 100 times more computing power than LLMs." An AI developer tools guide must address the massive shift from static large…
AI Guide: Open vs Proprietary Deployment 95%
"A model that gives me good results 95% of the time is more valuable than one that gives me amazing results 70% of the time and confusing output the…
LLM integration guide: Train with cloud 80%
"The goal of a hybrid infrastructure is to balance the massive scale of the cloud with the security and speed of local processing." This guide…
Best Tips for Multimodal AI consumer apps on 16GB VRAM
The later part of this article returns to Multimodal AI consumer apps. "The hardware is the cage, but the model is the bird." Choosing the right…
LLMs guide: How 30B or 70B models scale memory requirements
The rapid evolution of local Large Language Models LLMs means you can now run sophisticated intelligence on your personal hardware, but choosing the…
LLMs: Why quantization changes the game for inference speed
The rapid evolution of large language models LLMs means that hardware choice and model selection must be synchronized to avoid wasted resources. This…
Quantization Guide: How to Balance Speed and Accuracy 1
This article is about Quantization. "The gap between raw computing power and model intelligence is narrowing, but the physical limits of hardware…
Hardware guide: Best setup for 7B parameter LLMs
This article is about parameter. "The hardware is just a shell; the model is the soul of the machine." Running a local LLM requires a careful balance…