[!NOTE] If you are using llama.cpp , use jinja to enable the system prompt. Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. GLM 4 9B 0414 Introduction The GLM family welcomes new members, the GLM 4 32B 0414 series models, featuring 32 billion parameters. Its performance is comparable to OpenAI’s GPT series and DeepSeek’s V3/R1 series. It also supports very user friendly local deployment features. GLM 4 32B Base 0414 was pre trained on 15T of high quality data, including substantial reasoning type synthetic data. This lays the foundation for subsequent reinforcement learning extensions. In the post training stage, we employed human preference alignment for dialogue scenarios. Additionally, using techniques like rejection sampling and reinforcement learning, we enhanced the model’s performance in instruction following, engineering code, and function calling, thus strengthening the atomic capabilities required for agent tasks. GLM 4 32B 0414 achieves good results in engineering code, Artifact generation, function calling, search based Q&A, and report generation. In particular, on several benchmarks, such as code generation or specific Q&A tasks, GLM…
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