Local Deployment Guides for GLM-5-FP8 and Qwen3.5‑9B‑MLX‑8bit AI Models

Technical guides have been released detailing how to run two large language models on consumer hardware. The GLM-5-FP8 guide outlines deployment of the 176‑billion‑parameter model using FP8 quantization, recommending high‑end GPUs such as RTX 4080/4090, 32 GB RAM, 100 GB disk space, and providing scripts for automated weight downloading and configuration.

The Qwen3.5‑9B‑MLX‑8bit guide describes a 9‑billion‑parameter model with 8‑bit quantization, designed for efficient inference on consumer‑grade CPUs and GPUs with 16 GB video memory. It includes open‑source licensing, support for AMD ROCm drivers, and scripts for automated setup, low‑VRAM operation, and local RAG integration. Both guides target developers seeking offline, no‑cloud AI capabilities and include checksum verification, hardware checks, and step‑by‑step installation procedures.