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nbeerbower/Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO

nbeerbower Qwen 9.0B second-order
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Response includes
  • classification m4
  • files 8
  • benchmarks 11 entries
  • hub_downloads_all_time 699
  • 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
Refusal direction extraction

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
699
38 last 30d - cooling
Likes
1
Descendants
3
in 3 direct forks
Model age
6mo ago
created 2026-03-16

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
Now715→from520↑38%
510585660735520 on Mar 18715 on Oct 11MarAprMayJunJulAugSepOct
Mar 18 → Oct 11 · 69 snapshots · spans 207 days

Benchmarks

Benchmark Score Source
Entertainment 0.9 UGI
Hazardous 1.8 UGI
Natural Intelligence 14.88 UGI
Political lean -6.0% UGI
Sensitive-Info 11.44 UGI
SocPol 0.9 UGI
UGI 37.63 UGI
Willingness (10) 9 UGI
W10-Adherence 9 UGI
W10-Direct 9 UGI
Writing 29.12 UGI

Genealogy 3 direct forks

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Metadata

Tags
transformers safetensors qwen3_5_text text-generation merlina orpo conversational dataset:schneewolflabs/Athanorlite-DPO base_model:huihui-ai/Huihui-Qwen3.5-9B-abliterated base_model:finetune:huihui-ai/Huihui-Qwen3.5-9B-abliterated endpoints_compatible region:us

Related

Total size
16.7 GB
Files
8
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-03-16 22:37

Files by quantization

Auxiliary files 8 files 16.7 GB
model.safetensors 16.7 GB cae27c85 download
tokenizer.json 19.1 MB 6a0316e3 download
chat_template.jinja 7.57 KB a585dec8 download
config.json 1.93 KB cafb9a93 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.19 KB 6b9148c5 download
tokenizer_config.json 1.18 KB 401415ca download
generation_config.json 115 B affcdf18 download

README current version from Hugging Face


library_name: transformers
tags:

  • merlina
  • text-generation
  • orpo
    datasets:
  • schneewolflabs/Athanorlite-DPO
    base_model:
  • huihui-ai/Huihui-Qwen3.5-9B-abliterated

Huihui-Qwen3.5-9B-abliterated-Grimoire-ORPO

Testing grimore's ORPO implementation

Training Configuration

Parameter Value
Training Mode ORPO
Base Model huihui-ai/Huihui-Qwen3.5-9B-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 k_proj, o_proj, q_proj, v_proj, down_proj, gate_proj, up_proj
Quantization 4-bit (NF4)
GPU NVIDIA RTX A6000

Trained with Merlina

Merlina on GitHub

README history 3 versions

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

  1. 2026-03-16Update README.md90d69de1.2 KB
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  2. 2026-03-16Add model card with training configuration118b42a1.1 KB
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  3. 2026-03-16Upload Qwen3_5ForCausalLM10c92785.1 KB
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