5 articles found
Qwen3 Coder Next delivers 70.6% SWE-Bench performance with only 3B active parameters, running comfortably under 60GB and finally making local AI coding assistants genuinely usable for interactive development.
The open-source music generation model that generates songs in 2 seconds on an A100, runs on 4GB VRAM, and beats Suno on key benchmarks, while giving creators full commercial rights.
Unsloth’s aggressive 2-bit quantization slashes GLM-4.7 from 400GB to 134GB, forcing a reckoning with what ‘good enough’ means for frontier models
A deep technical analysis of an 8x Radeon 7900 XTX build running local LLM inference at 192GB VRAM, exposing the cost-performance gap between DIY consumer hardware and cloud AI infrastructure.
The new router mode in llama.cpp server enables dynamic model loading and switching without restarts, bringing enterprise-grade flexibility to local LLM deployment while exposing new resource management challenges.
