misc 0 0 0

jackf857/llama-3-8b-base-scheduled-beta-margin-dpo-hh-harmless-margin-log

published by @jackf857

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
156
Last 30 days
8
Likes
-
Size
373 KB
Created on HF
2026-04-27
Age
5 months ago

Description

jackf857/llama-3-8b-base-scheduled-beta-margin-dpo-hh-harmless-margin-log

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

Source Run

Model repo id: jackf857/llama-3-8b-base-scheduled-beta-margin-dpo-hh-harmless

Base model: W-61/llama-3-8b-base-sft-hh-harmless-4xh200

Run name: llama-3-8b-base-scheduled-beta-margin-dpo-hh-harmless

Margin log path: margin_outputs/llama-3-8b-base-margin-dpo-hh-harmless/margin_logs

Published split: train… See the full description on the dataset page: https://huggingface.co/datasets/jackf857/llama-3-8b-base-scheduled-beta-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

jackf857/llama-3-8b-base-scheduled-beta-margin-dpo-hh-harmless-margin-log

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

Source Run

  • Model repo id: jackf857/llama-3-8b-base-scheduled-beta-margin-dpo-hh-harmless
  • Base model: W-61/llama-3-8b-base-sft-hh-harmless-4xh200
  • Run name: llama-3-8b-base-scheduled-beta-margin-dpo-hh-harmless
  • Margin log path: margin_outputs/llama-3-8b-base-margin-dpo-hh-harmless/margin_logs
  • Published split: train
  • Rows: 661

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 9 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. 2026-04-27Add margin dataset card93b9599850 B
    Loading...
  2. 2026-04-27Add margin dataset carda6d6f88850 B
    Loading...
  3. 2026-04-27Upload margin summary datasetc5e0765686 B
    Loading...
  4. 2026-04-27Upload margin summary datasetea7e913686 B
    Loading...
  5. 2026-04-27Add margin dataset card88ff217850 B
    Loading...
  6. 2026-04-27Add margin dataset card3421d46850 B
    Loading...
  7. 2026-04-27Upload margin summary dataset74430f5686 B
    Loading...
  8. 2026-04-27Upload margin summary dataset83c3e19686 B
    Loading...
  9. 2026-04-27initial commitc21893a0 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("jackf857/llama-3-8b-base-scheduled-beta-margin-dpo-hh-harmless-margin-log")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="jackf857/llama-3-8b-base-scheduled-beta-margin-dpo-hh-harmless-margin-log", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/jackf857/llama-3-8b-base-scheduled-beta-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