misc 0 0 0

W-61/llama-3-8b-base-margin-dpo-hh-harmless-margin-log

published by @W-61

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
684
Last 30 days
112
Likes
-
Size
1.5 MB
Created on HF
2026-04-10
Age
6 months ago

Description

W-61/llama-3-8b-base-margin-dpo-hh-harmless-margin-log

Per-step margin summary statistics exported from a margin-DPO training run.

Source Run

Model repo id: W-61/llama-3-8b-base-margin-dpo-hh-harmless-8xh200

Base model: W-61/llama-3-8b-base-sft-hh-harmless-8xh200

Run name: llama-3-8b-base-margin-dpo-hh-harmless-8xh200-20260410-180850

Margin log path:… See the full description on the dataset page: https://huggingface.co/datasets/W-61/llama-3-8b-base-margin-dpo-hh-harmless-margin-log.

Tags

size_categories:n<1Kformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face

W-61/llama-3-8b-base-margin-dpo-hh-harmless-margin-log

Per-step margin summary statistics exported from a margin-DPO training run.

Source Run

  • Model repo id: W-61/llama-3-8b-base-margin-dpo-hh-harmless-8xh200
  • Base model: W-61/llama-3-8b-base-sft-hh-harmless-8xh200
  • Run name: llama-3-8b-base-margin-dpo-hh-harmless-8xh200-20260410-180850
  • Margin log path: /scratch/feng.yulu/dynamic-dpo-v4/outputs/llama-3-8b-base-margin-dpo-hh-harmless-8xh200-20260410-180850/margin_logs
  • Published split: train
  • Rows: 330

Columns

  • epoch
  • step
  • batch_size
  • mean
  • std
  • min
  • p10
  • median
  • p90
  • max
  • pos_frac
  • sample (per-example margins for the effective batch on that logged step)
  • npy (optional path to the saved full margin array when margin_save_full=true)

Dataset Mixer

{
  "Anthropic/hh-rlhf": 1.0
}

README history 4 revisions

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.

  1. 2026-04-10Upload raw margin log arrays37fcdce877 B
    Loading...
  2. 2026-04-10Add margin dataset card7095a9f877 B
    Loading...
  3. 2026-04-10Upload margin summary datasetc803612686 B
    Loading...
  4. 2026-04-10initial commitd8583530 B
    Loading...

Used by abliterated models none yet

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.

Related datasets same stage · misc

Read further

Repository

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("W-61/llama-3-8b-base-margin-dpo-hh-harmless-margin-log")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="W-61/llama-3-8b-base-margin-dpo-hh-harmless-margin-log", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/W-61/llama-3-8b-base-margin-dpo-hh-harmless-margin-log
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration