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nbeerbower/Huihui-Qwen3.5-27B-abliterated-Athanorlite-ORPO

nbeerbower Qwen 27B second-order
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Response includes
  • classification m4
  • files 11
  • benchmarks 11 entries
  • hub_downloads_all_time 109
  • author_summary 27 models
  • readme_text full
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Abliteration classifier · v1.0.0
M4
Primary method

Abliterate + heal

Applied on top of direct removal inherited from the base model.
Confidence
LOW
Inherited from base model
Why this label 2 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'healed'/'orpo'/'dpo' in name suggests heal step after abliteration
  • M4 = abliterate + heal pipeline
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No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
109
36 last 30d - stable
Likes
0
Descendants
2
in 2 direct forks
Model age
6mo ago
created 2026-03-31

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now123→from0↑0%
045901350 on Apr 1123 on Oct 11AprMayJunJulAugSepOct
Apr 1 → Oct 11 · 67 snapshots · spans 193 days

Benchmarks

Benchmark Score Source
Entertainment 1.6 UGI
Hazardous 2.9 UGI
Natural Intelligence 22.36 UGI
Political lean -24.2% UGI
Sensitive-Info 22.3 UGI
SocPol 2.4 UGI
UGI 44.87 UGI
Willingness (10) 9 UGI
W10-Adherence 10 UGI
W10-Direct 8 UGI
Writing 35.63 UGI

Genealogy 2 direct forks

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Metadata

Tags
transformers safetensors qwen3_5 image-text-to-text merlina grimoire text-generation orpo conversational dataset:schneewolflabs/Athanorlite-DPO base_model:huihui-ai/Huihui-Qwen3.5-27B-abliterated base_model:finetune:huihui-ai/Huihui-Qwen3.5-27B-abliterated

Related

Total size
51.0 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-02 13:42

Files by quantization

Auxiliary files 11 files 51.0 GB
model-00001-of-00002.safetensors 46.4 GB 4b4b4cd3 download
model-00002-of-00002.safetensors 4.55 GB d615c09a download
tokenizer.json 19.1 MB 6a0316e3 download
model.safetensors.index.json 138 KB a47337ed download
chat_template.jinja 7.57 KB a585dec8 download
config.json 3.55 KB a0e8e33d download
.gitattributes 1.53 KB 52373fe2 download
tokenizer_config.json 1.18 KB 401415ca download
README.md 1.13 KB 6909b8f8 download
preprocessor_config.json 390 B 2ea84a43 download
generation_config.json 213 B 4c133963 download

README current version from Hugging Face


library_name: transformers
tags:

  • merlina
  • grimoire
  • text-generation
  • orpo
    datasets:
  • schneewolflabs/Athanorlite-DPO
    base_model:
  • huihui-ai/Huihui-Qwen3.5-27B-abliterated

Huihui-Qwen3.5-27B-abliterated-Athanorlite-ORPO

Training Configuration

Parameter Value
Training Mode ORPO
Base Model huihui-ai/Huihui-Qwen3.5-27B-abliterated
Learning Rate 9e-05
Epochs 1
Batch Size 1
Gradient Accumulation 32
Effective Batch Size 32
Max Sequence Length 2048
Optimizer paged_adamw_8bit
LR Scheduler cosine
Warmup Ratio 0.05
Weight Decay 0.01
Max Grad Norm 0.25
Seed 42
Beta 0.1
Max Prompt Length 1024
LoRA Rank (r) 128
LoRA Alpha 64
LoRA Dropout 0.05
Target Modules up_proj, down_proj, gate_proj, k_proj, q_proj, v_proj, o_proj
Quantization 4-bit (NF4)
GPU NVIDIA A100-SXM4-80GB

Trained with Merlina

Merlina on GitHub

README history 2 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-03-31Add model card with training configuration19581241.1 KB
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  2. 2026-03-31Upload Qwen3_5ForConditionalGenerationf3855635.1 KB
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Discussions 1 thread

  1. 2026-04-02Please add preprocessor_config.jsonopen2 💬#1
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