AtomicChat/MiniCPM-V-4.7-35B-A3B-Uncensored-GGUF-metrics
Alignment dataset tracked in the /datasets sub-catalog.
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README history
Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.
2026-10-12Raw model answers removed before going public; the aggregated counts stay
Loading...2026-10-12human-read.md was the automatic W*'s sample: kept with it
Loading...2026-10-12pipeline: ablit/baked/AD-Q6_K/
Loading...2026-10-12pipeline: logs/leak-AD-Q6_K.log
Loading...2026-10-12pipeline: logs/kld-neutral--AD-Q6_K.log
Loading...2026-10-12pipeline: ablit/baked/AD-Q5_K-Q4_K/
Loading...2026-10-12pipeline: logs/leak-AD-Q5_K-Q4_K.log
Loading...2026-10-12pipeline: logs/kld-neutral--AD-Q5_K-Q4_K.log
Loading...2026-10-12pipeline: ablit/baked/AD-Q4_K-IQ4_XS/
Loading...2026-10-12pipeline: logs/leak-AD-Q4_K-IQ4_XS.log
Loading...2026-10-12pipeline: logs/kld-neutral--AD-Q4_K-IQ4_XS.log
Loading...2026-10-12pipeline: logs/quantize-AD-Q6_K.log
Loading...2026-10-12pipeline: logs/quantize-AD-Q5_K-Q4_K.log
Loading...2026-10-12pipeline: logs/quantize-AD-Q4_K-IQ4_XS.log
Loading...2026-10-12pipeline: ablit/baked/imatrix-source.txt
Loading...2026-10-12pipeline: logs/imatrix-baked-vs-base.log
Loading...2026-10-12pipeline: ablit/baked/bake.json
Loading...2026-10-12pipeline: logs/bake.log
Loading...2026-10-12ablit: W* = r28-noembd-en:1.0, a person's pick (0 refusals with thinking on)
Loading...2026-10-12ablit: the automatic W* kept under wstar-auto/
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Used by abliterated models
No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.
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Download the dataset
0Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.
from datasets import load_dataset
ds = load_dataset("AtomicChat/MiniCPM-V-4.7-35B-A3B-Uncensored-GGUF-metrics") from huggingface_hub import snapshot_download
snapshot_download(repo_id="AtomicChat/MiniCPM-V-4.7-35B-A3B-Uncensored-GGUF-metrics", repo_type="dataset") git clone https://huggingface.co/datasets/AtomicChat/MiniCPM-V-4.7-35B-A3B-Uncensored-GGUF-metrics