datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
lora_testloralorawc-lora-cfgsdxl-loraslora-training-datasetskagg_anima_lorawan2.2_loraLora_Cloud_Dataset_Test
VLM Safety Inspector (2B / 4B / 8B) Mac 端评测与闭环套件
VLM Safety Inspector (2B / 4B / 8B) Mac 端闭环评测包
本目录是一个完全自包含（Self-Contained）的独立评测套件，专门适配您的 Mac（Apple Silicon / MPS）目录布局。
本目录是一个完全独立、自包含（Self-Contained）的评测套件，专为在 Mac (Apple Silicon / MPS) 上运行。
一、Mac 端文件布局自动识别（针对您的 iild 结构）
一、核心架构与流水线
评测脚本已内置针对您 Mac 端 iild/ 目录结构的全自动路径解析器：
在本次评测中，整条上行与闭环流水线严格遵循您的设想：
上游双塔一致性（In-Domain Consistency）：
输入给 Planner 和 Inspector 的 150 个任务安全规则，已在 PC 端由纯 Legacy… See the full description on the dataset page: https://huggingface.co/datasets/lvesucces/Lora_Cloud_Dataset_Test.2026-09-11-dh-qwen36-lora-table2-9284-difficult-advice-chunk-only-702-rank-64-dynbatch
Delegated-harm evaluation with corrected scoring of saved rollouts
field
value
experiment
Delegated-harm evaluation with corrected scoring of saved rollouts
date_generated
2026-09-11
constitution
none
source_repo
teaching_claude_why_replication @ d627d0587a2980069b7700e72f727dae594c9f49
models
{"hf_path": "dougalldeepmind/2026-08-21-qwen36-lora-table2-9284-difficult-advice-chunk-only-702-rank-64-dynbatch", "base_model": "Qwen/Qwen3.6-27B", "adapter": true… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-09-11-dh-qwen36-lora-table2-9284-difficult-advice-chunk-only-702-rank-64-dynbatch.2026-09-11-dh-qwen3-6-27b-lora-9284-numina-control-716-r64
Delegated-harm evaluation with corrected scoring of saved rollouts
field
value
experiment
Delegated-harm evaluation with corrected scoring of saved rollouts
date_generated
2026-09-11
constitution
none
source_repo
teaching_claude_why_replication @ d627d0587a2980069b7700e72f727dae594c9f49
models
{"hf_path": "matboz/qwen3.6-27b-lora-9284-numina-control-716-r64", "base_model": "Qwen/Qwen3.6-27B", "adapter": true, "mode": "think", "model_key":… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-09-11-dh-qwen3-6-27b-lora-9284-numina-control-716-r64.lora22loralora-fusing-preferenceslorassdg_Lora_Collect
⭐ SDG Lora Collection ⭐
Here I collect loras that were posted as non-persistent links in forums or on Discord. If applicable, I renamed the file according to information in the metadata.
If not noted otherwise these are IllustriousXL / noobaiXL trained loras.
I made none of these myself so I can't answer any questions about them. If you want me to take any one of them down, ping me on Discord or CivitAi.
Use the Lora Metadata viewer to get more information.
w2t-llm-goemotions-lora
W2T Llm Goemotions Lora
This repository contains artifacts for the W2T paper:
Paper: W2T: LoRA Weights Already Know What They Can Do
Repo: Weight2Token
Summary
GoEmotions LoRA checkpoints for Llama-3.2-3B and associated metadata.
Source Status
Storage location: local
Verification status: confirmed
Files
See manifest.json for the exact local or remote source paths used to prepare this release.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Xiaolong-Han/w2t-llm-goemotions-lora.loracailin020aurel_lora_testdit-loras-interpreting
andyx10/dit-loras-interpreting
Experimenting with interpreting write vectors over 100 hidden-topic model organisms fromdiff-interpretation-tuning/loras
implementation
We use 'self_attn.o_proj andmlp.down_proj` for write vectors: two per block across 36 blocks, with a total of 72 write vectors per organism.
Jacobian Lens from Neuronpedia
neuronpedia/jacobian-lens
(qwen3-4b/jlens/Salesforce-wikitext/Qwen3-4B_jacobian_lens.pt)
layout
test100/… See the full description on the dataset page: https://huggingface.co/datasets/andyx10/dit-loras-interpreting.LoRAs2026-09-12-dh-qwen36-lora-table2-9284-nonmoral-deliberation-684-rank-64-dynbatch
Delegated-harm evaluation with corrected scoring of saved rollouts
field
value
experiment
Delegated-harm evaluation with corrected scoring of saved rollouts
date_generated
2026-09-12
constitution
none
source_repo
teaching_claude_why_replication @ 7cb72cf09f15fb58839862e1ef1c6930562b3cca
models
{"hf_path": "dougalldeepmind/2026-09-02-qwen36-lora-table2-9284-nonmoral-deliberation-684-rank-64-dynbatch", "base_model": "Qwen/Qwen3.6-27B", "adapter": true, "mode":… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-09-12-dh-qwen36-lora-table2-9284-nonmoral-deliberation-684-rank-64-dynbatch.lora_testIllustrious_Lora_LegacyA directory of all my old Illustrious models (mostly the ones posted on Civitai).
They are also hosted here: https://civitai.red/user/Ava_Choco (but censorship is so brutal that it alsmost flags anything anime/manga)
Your should be able to dig up the activation tag from the images or from the meta data of the lora.
If you can't find it that way, let me know and I will look it up.
LoRA Usage Disclaimer
This LoRA model is provided as-is for non-commercial use only.
Important: The user does not… See the full description on the dataset page: https://huggingface.co/datasets/Ava2000/Illustrious_Lora_Legacy.LoRA-WiSE
Dataset Card for the LoRA WiSE benchmark
The LoRA Weight Size Evaluation (LoRA-WiSE) is a comprehensive
benchmark specifically designed to evaluate LoRA dataset size recovery methods for generative models
LoRA-WiSE spans various dataset sizes, backbones, ranks, and personalization sets, as presented in
the "Dataset Size Recovery from LoRA Weights" paper.
Task Details
Dataset Description
Dataset Structure
Data Subsets
Data Fields
Dataset Creation
Citation Information
🌐… See the full description on the dataset page: https://huggingface.co/datasets/MoSalama98/LoRA-WiSE.wan2.2-LorasCharacter_Lorasadaptercast-lora-trajectories
AdapterCast LoRA Trajectory Corpus
Dense LoRA fine-tuning trajectories (adapter weight snapshots + gauge-invariant
spectral features) for research on fine-tuning dynamics and trajectory forecasting.
Companion dataset to the AdapterCast paper (theory: GL(r) gauge structure of LoRA;
measurements: balancedness decay law, Adam pump, regime map; machine: the
NeuralGraphLoRA forecaster).
Layout (per run)
trajectory.dat.zst — zstd fp16 memmap, shape (n_states, n_params)… See the full description on the dataset page: https://huggingface.co/datasets/EntropyCoder/adaptercast-lora-trajectories.cot-distill-lora-subspace
CoT distillation across interpolated teachers: teacher CoT, splits and student generations
This repository holds the data half of the paper on what a student's weights keep when its teacher stops thinking. The paper is [citation pending]. The LoRA adapters and analysis outputs are in the companion model repository, kimtaeyeong1229/cot-distill-lora-subspace.
Question. A teacher is built by mixing a reasoning model (λ = 0) and a short-answer instruct model (λ = 1) with ratio λ… See the full description on the dataset page: https://huggingface.co/datasets/kimtaeyeong1229/cot-distill-lora-subspace.my-lora-backup-dataKoHRM-Text-1.4B-sft-lora-data
KoHRM-Text-1.4B SFT and LoRA Prepared Data
This dataset repo stores curated KoHRM SFT/LoRA subsets in the same tokenized
HRM-Text V1Dataset format used by training. It is intended for quick behavior
alignment experiments after KoHRM pretraining.
Model repo:
https://huggingface.co/LLM-OS-Models/KoHRM-Text-1.4B
Code repo:
https://github.com/LLM-OS-Models/KoHRM-text
Format
Each folder is a prepared V1Dataset:
<dataset-name>/
metadata.json
tokenizer_info.json… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/KoHRM-Text-1.4B-sft-lora-data.