← back to catalog · registered 2026-08-22 13:56

huihui-ai/BaronLLM_Offensive_Security-abliterated-GGUF

huihui-ai GGUF 131K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/huihui-ai%2FBaronLLM_Offensive_Security-abliterated-GGUF"
Response includes
  • classification m8
  • files 3
  • hub_downloads_all_time 9,656
  • author_summary 183 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of layer-wise ablation 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.
  • author=huihui-ai + is_gguf=1
  • M3 (huihui abliteration) wrapped in M8 (GGUF quantization)
Refusal direction extracted via
Extraction technique

huihui-ai layer-band extraction

Confidence
HIGH
Why we say so
producer=huihui-ai (documented layer-band methodology in model cards)
Downloads · lifetime
10K
661 last 30d - cooling
Likes
70
Model age
16mo ago
created 2025-06-11
Downloads over time
Now9.9K→from0↑0%
03.6K7.2K10.9K0 on Jun 12, 20259.9K on Oct 11Jun '25Sep '25Dec '25MarJunSep
Jun 12, 2025 → Oct 11 · 108 snapshots · spans 486 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
mit
Languages
en
Tags
transformers gguf llama-cpp gguf-my-repo chat abliterated uncensored text-generation en base_model:AlicanKiraz0/Cybersecurity-BaronLLM_Offensive_Security_LLM_Q6_K_GGUF base_model:quantized:AlicanKiraz0/Cybersecurity-BaronLLM_Offensive_Security_LLM_Q6_K_GGUF license:mit

Related

Total size
6.14 GB
Files
3
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-06-11 07:34

Files by quantization

Auxiliary files 3 files 6.14 GB
baronllm--abliterated-llama3.1-v1-q6_k.gguf 6.14 GB ******** download
README.md 2.74 KB 8b1e4623 download
.gitattributes 1.56 KB 600fb064 download

README current version from Hugging Face


library_name: transformers
tags:

  • llama-cpp

  • gguf-my-repo

  • chat

  • abliterated

  • uncensored
    base_model:

    • AlicanKiraz0/BaronLLM_Offensive_Security_LLM_Q6_K_GGUF
      license: mit
      language:
  • en
    pipeline_tag: text-generation
    extra_gated_prompt: >-
    Usage Warnings

    “Risk of Sensitive or Controversial Outputs“: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

    “Not Suitable for All Audiences:“ Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

    “Legal and Ethical Responsibilities“: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

    “Research and Experimental Use“: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

    “Monitoring and Review Recommendations“: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

    “No Default Safety Guarantees“: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.


huihui-ai/BaronLLM_Offensive_Security-abliterated-GGUF

This is an uncensored version of AlicanKiraz0/BaronLLM_Offensive_Security_LLM_Q6_K_GGUF created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

ollama

You can use huihui_ai/baronllm-abliterated directly,

ollama run huihui_ai/baronllm-abliterated

Donation

If you like it, please click 'like' and follow us for more updates.
You can follow x.com/support_huihui to get the latest model information from huihui.ai.

If you have any questions, insights, or specific ablation models you want to request, please send an email to [email protected]

Your donation helps us continue our further development and improvement, a cup of coffee can do it.
  • bitcoin(BTC):
  bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge

Discussions 1 thread

  1. 2025-12-13new modelopen6 💬#1
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration