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mikaelback/Llama-3.2-3B-Instruct-abliterated-openvino-8bit

mikaelback Llama 3B second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mikaelback%2FLlama-3.2-3B-Instruct-abliterated-openvino-8bit"
Response includes
  • classification m1
  • files 11
  • hub_downloads_all_time 135
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
135
23 last 30d - stable
Likes
0
Model age
10mo ago
created 2025-11-21
Downloads over time
Now144→from54↑167%
508411915354 on Nov 19, 2025144 on Oct 11Nov '25JanMarMayJulSep
Nov 19, 2025 → Oct 11 · 86 snapshots · spans 326 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
llama3.2
Tags
transformers safetensors openvino llama text-generation abliterated uncensored nncf 8-bit conversational base_model:huihui-ai/Llama-3.2-3B-Instruct-abliterated base_model:finetune:huihui-ai/Llama-3.2-3B-Instruct-abliterated

Related

Total size
3.00 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-11-21 14:00

Files by quantization

Auxiliary files 11 files 3.01 GB
openvino_model.bin 3.00 GB 24f1b712 download
tokenizer.json 8.66 MB 777c28bc download
openvino_model.xml 2.16 MB a540e12a download
tokenizer_config.json 53.3 KB de2d513e download
model.safetensors.index.json 20.5 KB ed64de84 download
.gitattributes 1.48 KB a6344aac download
config.json 939 B 5d80ffaf download
README.md 873 B f70c2c54 download
openvino_config.json 609 B b89b29aa download
special_tokens_map.json 325 B b43be966 download
generation_config.json 184 B aba45c8e download

README current version from Hugging Face


base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
library_name: transformers
license: llama3.2
tags:

  • abliterated
  • uncensored
  • openvino
  • nncf
  • 8-bit

This model is a quantized version of huihui-ai/Llama-3.2-3B-Instruct-abliterated and is converted to the OpenVINO format. This model was obtained via the nncf-quantization space with optimum-intel.

First make sure you have optimum-intel installed:

pip install optimum[openvino]

To load your model you can do as follows:

from optimum.intel import OVModelForCausalLM

model_id = "mikaelback/Llama-3.2-3B-Instruct-abliterated-openvino-8bit"
model = OVModelForCausalLM.from_pretrained(model_id)

README history 1 version

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

  1. 2025-11-21Upload README.md with huggingface_hubf0b7bd4873 B
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