glm47-calibration-1360

> [!TIP] > Support this work: **[donate.sybilsolutions.ai](https://donate.sybilsolutions.ai)** > > REAP surfaces: [GLM](https://huggingface.co/spaces/0xSero/reap-glm-family) | [MiniMax](https://huggingface.co/spaces/0xSero/reap-minimax-family) | [Qwen](https://huggingface.co/spaces/0xSero/reap-qwen-family) | [Gemma](https://huggingface.co/spaces/0xSero/reap-gemma-family) | [Paper](https://arxiv.org/abs/2510.13999) | [Code](https://github.com/CerebrasResearch/reap) | [PR17](https://github.com/CerebrasResearch/reap/pull/17) | [Cerebras Collection](https://huggingface.co/collections/cerebras/cerebras-reap) # GLM-4.7 REAP Calibration Dataset (1360 samples) Mixed calibration dataset for GLM-4.7-REAP-218B W4A16 quantization. ## Composition - **Code generation**: 700 samples (evol-codealpaca-v1 style) - **Function calling**: 330 samples (xlam-function-calling-60k style) - **Agentic trajectories**: 330 samples (SWE-smith-trajectories style) ## Usage ```python from datasets import load_dataset dataset = load_dataset("0xSero/glm47-calibration-1360", split="train") ``` ## Purpose Calibration dataset for AutoRound W4A16 quantization of GLM-4.7-REAP-218B-A32B. Matches Cerebras REAP calibration requirements.