Read our How to Run FP8 GLM 4.7 Flash Guide! FP8 Dynamically quantized GLM 4.7 Flash FP8 Dynamically quantized by Unsloth for fast and premium inference. You can read our vLLM deployment guide. Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. 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 SGLang only support GLM 4.7 Flash on their main branches…
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