Get the app
fine-tune 0 0 0

Luicoin/airoboros-uncensored

published by @Luicoin

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
46
Last 30 days
9
Likes
-
Size
304.2 MB
Created on HF
2026-09-16
Age
1 months ago

Description

Usage and License Notices

All airoboros models and datasets are intended and licensed for research use only. I've used the 'cc-nc-4.0' license, but really it is subject to a custom/special license because:

the base model is LLaMa, which has it's own special research license

the dataset(s) were generated with OpenAI (gpt-4 and/or gpt-3.5-turbo), which has a clausing saying the data can't be used to create models to compete with openai

So, to reiterate: this model (and… See the full description on the dataset page: https://huggingface.co/datasets/Luicoin/airoboros-uncensored.

Tags

license:cc-by-nc-4.0region:us

README current version from Hugging Face

license: cc-by-nc-4.0

Usage and License Notices

All airoboros models and datasets are intended and licensed for research use only. I've used the 'cc-nc-4.0' license, but really it is subject to a custom/special license because:

  • the base model is LLaMa, which has it's own special research license
  • the dataset(s) were generated with OpenAI (gpt-4 and/or gpt-3.5-turbo), which has a clausing saying the data can't be used to create models to compete with openai

So, to reiterate: this model (and datasets) cannot be used commercially.

README history 1 revision

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. 2026-09-16Duplicate from ArchitW/airoboros-uncensored4f1d16a553 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 · fine-tune

QuixiAI/dolphin
40.4K dl 444 likes 17.6 GB
Dolphin 🐬 https://erichartford.com/dolphin Dataset details This dataset is an attempt to replicate the results of ...
nvidia/Nemotron-SFT-Safety-v1
27.6K dl 14 likes 147.9 MB
Dataset Description: The Nemotron-SFT-Safety-v1 data is designed to align models to be robust against a variety of safety and s...
open-llm-leaderboard-old/details_ehartford__WizardLM-1.0-Uncensored-Llama2-13b
18.2K dl 293.9 MB
Dataset Card for Evaluation run of ehartford/WizardLM-1.0-Uncensored-Llama2-13b Dataset Summary Dataset automati...
jtatman/stable-diffusion-prompts-stats-full-uncensored
16.2K dl 157 likes 206.8 MB
jondurbin/airoboros-3.2
14.7K dl 52 likes 74.8 MB
Overview This dataset is a continuation of the airoboros-3.1 with the following changes: MathJSON has been removed for the tim...
xzuyn/open-instruct-uncensored-alpaca
12.2K dl 7 likes 7.4 GB
Original dataset page from ehartford. 810,102 entries. Sourced from open-instruct-uncensored.jsonl. Converted the jsonl to a json ...
OEvortex/uncensored-vortex
10.9K dl 10 likes 11.4 GB
jiae1234/vscd
10.5K dl 98.5 GB
VSCD: Video-based Scene Change Detection in Unaligned Scenes Dataset Description VSCD is a benchmark for Video-b...

Read further

Community best practices (data hygiene)
Rules for what belongs in a training mix and what does not.
M6 - Uncensored fine-tuning
DPO/ORPO from scratch. The Hartford dolphin lineage.
The politics of dataset curation
The curatorial choices behind Dolphin, Wizard, and the uncensored tradition.
Non-English abliteration communities
How non-English producers assemble uncensored fine-tuning corpora.

Metadata

License
cc-by-nc-4.0

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("Luicoin/airoboros-uncensored")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Luicoin/airoboros-uncensored", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/Luicoin/airoboros-uncensored
Browse repository on Hugging Face ->
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.

Get the app Browse the catalog
Open in Abliteration