Model Families 10 posts
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…
LLM Guide: How Fine-Tuning Affect Local Model Behavior
This article is about Behavior. "The truth is, the model is only as reliable as the data that shaped its personality." If you are looking to run a…
Qwen vs Llama 3.1: Which LLM Fits Your Local Hardware?
"Stop guessing which open source LLM fits your hardware; this guide benchmarks Qwen vs. Llama 3.1 across real local setups." Choosing between Qwen…
Quantization Guide: Optimize Models for Local Hardware
"A base model is a brilliant mind with no access to your specific files; RAG is the library you build to give that mind context." Retrieval Augmented…
Secure Code: Run LLMs Locally for 2025 Development
Stop sending your proprietary source code to the cloud and start building a private, high performance AI coding powerhouse right on your own machine.…
Llama 3.1 Guide: Run Powerful Local AI on Your Hardware
Running a powerful AI locally isn't just for data scientists anymore; it’s about turning your personal hardware into a private, intelligent…