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Bijtmunt/Qwen2.5-Coder-7B-Instruct-Uncensored

Bijtmunt Qwen 7.6B
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Response includes
  • classification m-uncensored
  • files 13
  • benchmarks 16 entries
  • hub_downloads_all_time 55
  • author_summary 1 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
55
33 last 30d - active
Likes
0
Model age
2mo ago
created 2026-07-24
Downloads over time
Now68→from18↑278%
1635547318 on Jul 2268 on Oct 1168 on Oct 9JulAugSepOct
Jul 22 → Oct 11 · 52 snapshots · spans 81 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
BBH average 0.4571280321701907 OpenLLM-v2
IFEval instruct 0.6546762589928058 OpenLLM-v2
IFEval-Prompt 0.5656192236598891 OpenLLM-v2
MATH lvl 5 0.033987915407854986 OpenLLM-v2
MMLU-Pro 0.3351894946808511 OpenLLM-v2
Entertainment 1 UGI
Hazardous 1.2 UGI
Natural Intelligence 13.97 UGI
Political lean -19.6% UGI
Sensitive-Info 7.29 UGI
SocPol 0 UGI
UGI 9.86 UGI
Willingness (10) 1.5 UGI
W10-Adherence 0 UGI
W10-Direct 3 UGI
Writing 18.77 UGI

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 vi
Tags
transformers safetensors qwen2 text-generation conversational en vi base_model:Qwen/Qwen2.5-Coder-7B-Instruct base_model:finetune:Qwen/Qwen2.5-Coder-7B-Instruct license:mit text-generation-inference endpoints_compatible

Related

Total size
14.2 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-07-24 20:18

Files by quantization

Auxiliary files 13 files 14.2 GB
model-00002-of-00004.safetensors 4.59 GB 26e1cfe1 download
model-00001-of-00004.safetensors 4.54 GB a0589815 download
model-00003-of-00004.safetensors 4.03 GB d64738c9 download
model-00004-of-00004.safetensors 1.02 GB 5aa6e5cb download
tokenizer.json 6.71 MB 443909a6 download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 20024bfe download
model.safetensors.index.json 27.1 KB 6ca5084b download
tokenizer_config.json 7.13 KB acee076f download
.gitattributes 1.48 KB a6344aac download
README.md 1.29 KB 189738ed download
config.json 723 B 243382a8 download
generation_config.json 242 B 79277451 download

README current version from Hugging Face


library_name: transformers
license: mit
language:

  • en
  • vi
    base_model:
  • Qwen/Qwen2.5-Coder-7B-Instruct

Logo

🎯 Qwen2.5-Coder-7B-Instruct-Uncensored

An optimized version of Qwen2.5-Coder-7B-Instruct focused on removing refusal behaviors

📌 Overview

A streamlined implementation that removes refusal behaviors from Qwen2.5-Coder-7B-Instruct, 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 1 version

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

  1. 2026-07-24Duplicate from BlossomsAI/Qwen2.5-Coder-7B-Instruct-Uncensoredca0c2e91.3 KB
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