[!NOTE] Includes Unsloth chat template fixes ! For llama.cpp , use jinja 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. vLLM + using pip (must use pypi.org as the index url): SGLang + using pip install sglang from source, then update trans…
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