Open Source

Tribue to April's LLM releases

Open-source models like Llama 4 and Mistral 7B hit local devices with 10x efficiency gains...

Deep Dive

April 2026 was a turning point for local LLMs. This is my tribute.

Key Points
  • Meta's Llama 4 7B achieves 95% GPT-4o accuracy on a single consumer GPU, using mixture-of-experts architecture
  • Mistral 7B v2 runs at 50 tokens/second on Apple M4 with 8-bit quantization and 100K context windows
  • New tooling (llama.cpp v2026.04) adds speculative decoding and hybrid CPU/GPU offloading for 2x speed

Why It Matters

Local LLMs free professionals from cloud costs and privacy risks, enabling real-time AI on any device.