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nbeerbower/Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO

nbeerbower Qwen 2.2B multimodal second-order
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  • classification m4
  • files 9
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  • 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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Downloads · lifetime
124
28 last 30d - stable
Likes
0
Descendants
2
in 2 direct forks
Model age
6mo ago
created 2026-04-11

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
Now132→from50↑164%
467710914050 on Apr 15132 on Oct 11AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 days

Genealogy 2 direct forks

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Metadata

Tags
transformers safetensors qwen3_5 image-text-to-text merlina grimoire vision-language-model orpo conversational dataset:schneewolflabs/Athanorlite-DPO base_model:huihui-ai/Huihui-Qwen3.5-2B-abliterated base_model:finetune:huihui-ai/Huihui-Qwen3.5-2B-abliterated

Related

Total size
4.12 GB
Files
9
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-11 02:28

Files by quantization

Auxiliary files 9 files 4.14 GB
model.safetensors 4.12 GB a5d0b504 download
tokenizer.json 19.1 MB 87a7830d download
chat_template.jinja 7.57 KB 0ef09f21 download
config.json 2.55 KB f9ed6365 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.27 KB 7ad6acdf download
README.md 1.18 KB 057a203d download
tokenizer_config.json 1.11 KB a068e246 download
generation_config.json 115 B affcdf18 download

README current version from Hugging Face


library_name: transformers
pipeline_tag: image-text-to-text
tags:

  • merlina
  • grimoire
  • image-text-to-text
  • vision-language-model
  • orpo
    datasets:
  • schneewolflabs/Athanorlite-DPO
    base_model:
  • huihui-ai/Huihui-Qwen3.5-2B-abliterated

Huihui-Qwen3.5-2B-abliterated-Athanorlite-ORPO

Training Configuration

Parameter Value
Training Mode ORPO
Base Model huihui-ai/Huihui-Qwen3.5-2B-abliterated
Learning Rate 9e-05
Epochs 1
Batch Size 2
Gradient Accumulation 16
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 0.3
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 RTX A6000

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. 2026-04-11Add model card with training configurationa3f33dd1.2 KB
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  2. 2026-04-11Upload Qwen3_5ForConditionalGeneration83f45685.1 KB
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