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BlossomsAI/vmlu-llm-7B-Uncensored

BlossomsAI Mistral 7.3B
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Response includes
  • classification m-uncensored
  • files 13
  • hub_downloads_all_time 263
  • author_summary 12 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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.

What is a refusal direction? →
Downloads · lifetime
263
24 last 30d - cooling
Likes
1
Descendants
1
in 1 direct fork
Model age
22mo ago
created 2024-12-04
Downloads over time
Now274→from15↑1,727%
010020030115 on Dec 4, 2024274 on Oct 12274 on Oct 9Dec '24Mar '25Jun '25Sep '25Dec '25MarJunSep
Dec 4, 2024 → Oct 12 · 137 snapshots · spans 677 days

Genealogy 1 direct fork

Full fork graph →

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

Variants by this author 2 formats · 197 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
mit
Languages
en vi
Tags
transformers safetensors mistral text-generation conversational en vi base_model:vtrungnhan9/vmlu-llm base_model:finetune:vtrungnhan9/vmlu-llm license:mit text-generation-inference endpoints_compatible

Related

Total size
13.6 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-02-12 16:30

Files by quantization

Auxiliary files 13 files 13.6 GB
model-00002-of-00003.safetensors 4.66 GB a85c282f download
model-00001-of-00003.safetensors 4.65 GB 46438225 download
model-00003-of-00003.safetensors 4.28 GB cea448ab download
tokenizer.json 2.05 MB f8242478 download
tokenizer.model 583 KB e792a804 download
model.safetensors.index.json 23.4 KB bc3a48d1 download
tokenizer_config.json 2.80 KB 2c1d45ce download
.gitattributes 1.48 KB a6344aac download
README.md 1.23 KB b6b5389a download
config.json 661 B 53b4b554 download
special_tokens_map.json 625 B 21fb4d88 download
generation_config.json 133 B 743b6f23 download
added_tokens.json 83.0 B 2ae1db40 download

README current version from Hugging Face


library_name: transformers
license: mit
language:

  • en
  • vi
    base_model:
  • vtrungnhan9/vmlu-llm

Logo

🎯 vmlu-llm-7B-Uncensored

An optimized version of vmlu-llm focused on removing refusal behaviors

📌 Overview

A streamlined implementation that removes refusal behaviors from vtrungnhan9/vmlu-llm, based on directional intervention techniques.

🔍 Key Features

  • Implements directional intervention for behavior modification
  • Fully quantized for resource-efficient deployment

🛠️ Implementation

Based on research findings from "Refusal in LLMs is Mediated by a Single Direction"

💫 Quantization

Pre-quantized models available in GGFU format:

🤝 Contributors

Developed with ❤️ by BlossomAI


Star ⭐️ this repo if you find it valuable!

README history 5 versions

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

  1. 2025-02-12Update README.mdb29e8231.2 KB
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  2. 2024-12-04Update README.mdb67b082658 B
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  3. 2024-12-04Update README.md85e50a3562 B
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  4. 2024-12-04Update README.md401e051561 B
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  5. 2024-12-04Upload MistralForCausalLMad0670a5.1 KB
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