GLM-4 with hopefully fixed context and some Alpaca eval maxxing. This checkpoint is SFT only and I'm planning to do APO, but still need to gen ~10K responses for training and finish up my anti-rep preference dataset.
32K context requires only 2GB VRAM, so you can fit Q4_K_M + 32k context on a single 24GB GPU, best in class for 32B dense models.
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Major Thanks
Thudm for the excellent GLM-4 Base
nyu-dice-lab for WildChat-50M
AI2 for the Tulu dataset
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Safetensors
Model size
33B params
Tensor type
BF16
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