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j4ys0n/MiniCPM5-2B-heretic-abliterated-ONNX

j4ys0n 2B second-order
Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · 30-day
72
Likes
0
Model age
today
created 2026-09-11

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Languages
en zh
Tags
transformers.js onnx llama text-generation webgpu minicpm5 heretic conversational en zh base_model:insraq/MiniCPM5-2B-heretic-abliterated base_model:quantized:insraq/MiniCPM5-2B-heretic-abliterated

Related

Total size
0 B
Files
8
Quantizations
1
Registered
2026-09-11 04:55
Last updated on HF
2026-09-11 04:55

Files by quantization

Auxiliary files 8 files 9.46 MB
tokenizer.json 9.44 MB d15448ea download
tokenizer_config.json 9.48 KB bbf0ade1 download
chat_template.jinja 8.78 KB 217bb497 download
conversion-manifest.json 1.98 KB 4f4bd56d download
.gitattributes 1.54 KB 3d92c672 download
config.json 908 B 0b78c923 download
README.md 907 B df3c4a67 download
generation_config.json 227 B 3c5ce688 download

README current version from Hugging Face


license: apache-2.0
base_model: insraq/MiniCPM5-2B-heretic-abliterated
library_name: transformers.js
pipeline_tag: text-generation
tags: [onnx, webgpu, minicpm5, heretic]
language: [en, zh]

MiniCPM5 2B Heretic — ONNX q4f16

Converted from insraq/MiniCPM5-2B-heretic-abliterated at revision 8d83eaf42e30f4e4f164b8685be0ecdccd8ef0d8. Original model: OpenBMB MiniCPM5-2B. This is the original safetensors checkpoint referenced by Abiray's GGUF model card; no GGUF files are used. Conversion changes precision, not the fine-tuning method.

Load with Transformers.js 4.2.0, device: 'webgpu', dtype: 'q4f16'. Requires shader-f16; weights are approximately 1.83 GB. Use tokenizer_encode_kwargs: { enable_thinking: false } to disable thinking.

See conversion-manifest.json for source revision, tool versions and file checksums.

README history 1 version

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

  1. 2026-09-11Publish browser-tested MiniCPM5 Heretic q4f16 ONNX conversion41d5a26907 B
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