datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.glm52-fidelity-exl3-tr3-3.0bpw-brandonmusic-v1
fidelity--glm52.malaiwah.quant.exl3-tr3-3.0bpw-brandonmusic
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from brandonmusic/GLM-5.2-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… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm52-fidelity-exl3-tr3-3.0bpw-brandonmusic-v1.glm53-flash-fidelity-exl3-tr3-4bpw-miaailab-v1
fidelity--glm53flash.malaiwah.quant.miaailab-4bpw
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from Mia-AiLab/GLM-5.3-Flash-EXL3-TR3-4bpw.
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… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm53-flash-fidelity-exl3-tr3-4bpw-miaailab-v1.glm52-fidelity-exl3-tr3-3.40bpw-jpsequeira-v1
fidelity--glm52.malaiwah.quant.exl3-tr3-3.40bpw-jpsequeira
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from jpsequeira/GLM-5.2-EXL3-TR3-3.40bpw-KVarN-K4V2.
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… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm52-fidelity-exl3-tr3-3.40bpw-jpsequeira-v1.glm53-fidelity-exl3-drowzeys-v1
fidelity--glm53.malaiwah.quant.exl3-drowzeys
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from drowzeys/keys-GLM-5.3-EXL3.
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 it).… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm53-fidelity-exl3-drowzeys-v1.glm52-fidelity-exl3-tr3v4-3.5bpw-mtp78-brandonmusic-v1
fidelity--glm52.malaiwah.quant.exl3-tr3v4-3.5bpw-mtp78-brandonmusic
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from brandonmusic/GLM-5.2-EXL3-TR3v4-3.5bpw-MTP78.
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… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm52-fidelity-exl3-tr3v4-3.5bpw-mtp78-brandonmusic-v1.glm52-fidelity-exl3-tr3-3.25bpw-willfalco-v1
fidelity--glm52.malaiwah.quant.exl3-tr3-3.25bpw-willfalco
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from willfalco/GLM-5.2-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… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm52-fidelity-exl3-tr3-3.25bpw-willfalco-v1.glm53-flash-fidelity-exl3-wrld-k3-v1
fidelity--glm53flash.malaiwah.quant.exl3-wrld-k3
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-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… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm53-flash-fidelity-exl3-wrld-k3-v1.