LLM Quantization Explained: GPTQ, AWQ, GGUF, and When Each One Wins
Serving a 7B model in fp16 takes roughly 14 GB of VRAM. A 70B model takes around 140 GB —
Continue readingLLM Quantization Explained: GPTQ, AWQ, GGUF, and When Each One Wins
Serving a 7B model in fp16 takes roughly 14 GB of VRAM. A 70B model takes around 140 GB —
Continue readingLLM Quantization Explained: GPTQ, AWQ, GGUF, and When Each One Wins
The open-weight AI landscape has shifted dramatically in the first half of 2026. Three major releases — DeepSeek V4 Pro,
Entering the AI space feels like learning a new language. Everyone throws around RAG, RLHF, GGUF, MoE, MCP like you’re
Continue readingThe AI Glossary: Every Term You Need to Know in 2026