Model Detail

glm-4-9b-chat is a code generation model with 9B parameters released by zai-org. Distributed under a other license.

Open-LLM-Leaderboard scoring places it at MMLU-Pro 20, GPQA 7, IFEval 65, BBH 21, giving a sense of how it handles instruction following, reasoning, and graduate-level QA in absolute terms.

glm-4-9b-chat ships as a GlmForCausalLM / 💬 chat models (RLHF, DPO, IFT, ...) architecture with 9B parameters. Total weight footprint is approximately 9.4 GB, which is the relevant figure when planning local-inference VRAM. Distribution is governed by the other license — review the exact terms before commercial deployment.

glm-4-9b-chat is best fit for code completion, repository-scale Q&A, and pair-programming integrations. It is a less obvious choice for one-shot generation of security-critical code without review. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.