GLM 4.7 Flash AWQ Base model: zai org/GLM 4.7 Flash 【Dependencies / Installation】 As of 2026 01 21 , make sure your system has cuda12.8 installed. Then, create a fresh Python environment (e.g. python3.12 venv) and run: 【vLLM Startup Command】 【Logs】 【Model Files】 File Size Last Updated 19 GiB 2026 01 21 【Model Download】 【Overview】 GLM 4.7 Flash 👋 Join our Discord community. 📖 Check out the GLM 4.7 technical blog , technical report(GLM 4.5) . 📍 Use GLM 4.7 Flash API services on Z.ai API Platform. 👉 One click to GLM 4.7 . Introduction GLM 4.7 Flash is a 30B A3B MoE model. As the strongest model in the 30B class, GLM 4.7 Flash offers a new option for lightweight deployment that balances performance and efficiency. Performances on Benchmarks Benchmark GLM 4.7 Flash Qwen3 30B A3B Thinking 2507 GPT OSS 20B AIME 25 91.6 85.0 91.7 GPQA 75.2 73.4 71.5 LCB v6 64.0 66.0 61.0 HLE 14.4 9.8 10.9 SWE bench Verified 59.2 22.0 34.0 τ² Bench 79.5 49.0 47.7 BrowseComp 42.8 2.29 28.3 Serve GLM 4.7 Flash Locally For local deployment, GLM 4.7 Flash supports inference frameworks including vLLM and SGLang. Comprehensive deployment instructions are available in the official Github repository. vLLM and S…
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