Qwen3 Coder Next on 8GB VRAM

A developer's viral post shows Alibaba's Qwen3 Coder Next model running efficiently on consumer hardware, specifically an RTX 3060 with 12GB VRAM and 64GB system RAM. Using the MXFP4 quantized GGUF format with 131,072 context tokens, they achieve sustained speeds of 23 tokens/second throughout conversations. They've completely replaced their $100/month Claude Max subscription, using the local model for both front-end and back-end web development of complete SaaS applications. The configuration uses llama-server with CUDA graph optimization and specific parameters that maximize performance on limited hardware. This demonstrates that professional coding assistance previously requiring cloud subscriptions can now run locally with proper model quantization and setup.