exl3
Datasets
All datasets matching “exl3”glm53-fidelity-exl3-wrld-k4-v1
fidelity--glm53.malaiwah.quant.exl3-wrld-k4
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from wrldsuksgo2mars/GLM-5.3-EXL3-K4-v1.
The cut
the final hidden state handed to lm_head -- after the text model's final norm and immediately before the head matmul -- captured as the head module's input via torch.nn.Module.register_forward_pre_hook; replay applies the head ONLY (no final norm at replay time: the capture already sits after… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm53-fidelity-exl3-wrld-k4-v1.glm53-flash-fidelity-exl3-tr3-6bpw-v1
fidelity--glm53flash.malaiwah.quant.tr3-6bpw
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from malaiwah/GLM-5.3-Flash-TR3-6bpw.
The cut
the final hidden state handed to lm_head -- after the text model's final norm and immediately before the head matmul -- captured as the head module's input via torch.nn.Module.register_forward_pre_hook; replay applies the head ONLY (no final norm at replay time: the capture already sits after… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm53-flash-fidelity-exl3-tr3-6bpw-v1.glm53-fidelity-exl3-tr3-3.42bpw-v1
fidelity--glm53.malaiwah.quant.exl3-tr3-342
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from davidsyoung/GLM-5.3-EXL3-TR3-3.42bpw.
The cut
the final hidden state handed to lm_head -- after the text model's final norm and immediately before the head matmul -- captured as the head module's input via torch.nn.Module.register_forward_pre_hook; replay applies the head ONLY (no final norm at replay time: the capture already sits… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm53-fidelity-exl3-tr3-3.42bpw-v1.glm53-fidelity-exl3-tr3-3.0bpw-v1
fidelity--glm53.malaiwah.quant.exl3-tr3-30
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from davidsyoung/GLM-5.3-EXL3-TR3-3.0bpw.
The cut
the final hidden state handed to lm_head -- after the text model's final norm and immediately before the head matmul -- captured as the head module's input via torch.nn.Module.register_forward_pre_hook; replay applies the head ONLY (no final norm at replay time: the capture already sits after… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm53-fidelity-exl3-tr3-3.0bpw-v1.glm53-fidelity-exl3-tr3-3.25bpw-v1
fidelity--glm53.malaiwah.quant.exl3-tr3-325
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from davidsyoung/GLM-5.3-EXL3-TR3-3.25bpw.
The cut
the final hidden state handed to lm_head -- after the text model's final norm and immediately before the head matmul -- captured as the head module's input via torch.nn.Module.register_forward_pre_hook; replay applies the head ONLY (no final norm at replay time: the capture already sits… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm53-fidelity-exl3-tr3-3.25bpw-v1.glm52-fidelity-exl3-tr3-3.42bpw-willfalco-v1
fidelity--glm52.malaiwah.quant.exl3-tr3-3.42bpw-willfalco
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from willfalco/GLM-5.2-EXL3-TR3-3.42bpw.
The cut
the final hidden state handed to lm_head -- after the text model's final norm and immediately before the head matmul -- captured as the head module's input via torch.nn.Module.register_forward_pre_hook; replay applies the head ONLY (no final norm at replay time: the capture… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm52-fidelity-exl3-tr3-3.42bpw-willfalco-v1.