Videos

Ornith 1.5 35B-A3B, a Mixture of Experts model based on Qwen 3.5, shows impressive capability for its size,...

Standard VRAM calculators systematically overestimate cache memory for modern open-weight models because they assume...

Qwen released the 27B parameter Qwen3.8-27B model, which significantly outperforms its predecessor Qwen3.6-27B and...

Alibaba's Qwen 3.8 27B dense model claims to beat Opus 4.6 on several coding benchmarks while being Apache 2.0...

16 GB VRAM just became the most common GPU config on Steam, which means the local AI tier list has shifted. Qwen 3.5...

Meta's Muse Glimmer is a 30B parameter coding agent that runs in 14GB of RAM thanks to dynamic quantization, which...

Inference engineering for large language models involves a stack of optimizations including KV cache-aware routing,...

DeepSeek V4 Flash 0731 is a powerful local AI model that excels at reasoning and benchmarks but tends to overthink...

Tiny models (50M-500M parameters) are now viable for edge devices and robotics, enabling voice-to-function calling...

Prism ML's Bonsai 27B models (ternary and 1-bit) dramatically shrink a Qwen 3.6 27B base while retaining surprising...