GLM4.7-Flash the new Local LLM king at 30B A3B and OpenCode? (grigio.org)

Z.ai has unveiled GLM4.7-Flash, a groundbreaking Local Language Model (LLM) that stands out in the competitive 30B parameter class. This innovative model employs a Mixture-of-Experts (MoE) architecture, activating only 3B parameters during inference, thereby offering remarkable computational efficiency without compromising on performance. With a context window of 200K tokens and an MIT open-source license, GLM4.7-Flash caters to diverse applications well, particularly in agentic coding and reasoning tasks. Early benchmarks highlight its superior capabilities, especially in τ²-Bench for agentic coding, where it achieved a notable 79.5%. The significance of GLM4.7-Flash lies in its ability to balance high performance with reduced resource requirements, making it suitable for complex workflows like multi-step reasoning and advanced code generation. Despite some challenges with quantization and hardware demands, its open-source nature encourages community-driven enhancements. As the model gains traction, it positions itself as a promising tool for enterprises focused on leveraging AI for sophisticated applications. Ongoing improvements in quantization and optimization for varied hardware further enhance its potential, solidifying GLM4.7-Flash as a leading choice for developers and organizations aiming for powerful AI capabilities.