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BlossomsAI/vmlu-llm-7B-Uncensored-GGUF

Name: BlossomsAI/vmlu-llm-7B-Uncensored-GGUF
Author: BlossomsAI

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Response includes

classification m-uncensored
files 10
hub_downloads_all_time 1,862
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.

Downloads · lifetime

173 last 30d - cooling

Likes

Model age

22mo ago

created 2024-12-04

Downloads over time

Dec 4, 2024 → Oct 11 · 136 snapshots · spans 676 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.

BlossomsAI/vmlu-llm-7B-Uncensored↓ 24 this lineage

BlossomsAI/vmlu-llm-7B-Uncensored-GGUF↓ 173

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.

BlossomsAI/vmlu-llm-7B-Uncensored-GGUF (this) GGUF 173
BlossomsAI/vmlu-llm-7B-Uncensored safetensors 24

Metadata

License

mit

Languages

vi en

Files by quantization

Auxiliary files 10 files 36.2 GB

q8_0.gguf	7.22 GB	97555a3d	download
q6_k.gguf	5.57 GB	ed02a12c	download
q5_k_m.gguf	4.82 GB	1938fee9	download
q5_k_s.gguf	4.69 GB	ed3d227d	download
q4_k_m.gguf	4.10 GB	78cd25f7	download
q4_k_s.gguf	3.89 GB	91da46d1	download
q3_k_m.gguf	3.31 GB	b802c669	download
q2_k.gguf	2.56 GB	175a8132	download
README.md	2.03 KB	a4f643f2	download
.gitattributes	1.85 KB	ce5e3034	download

README current version from Hugging Face

license: mit
language:

vi
en
base_model:
BlossomsAI/vmlu-llm-7B-Uncensored

🚀 vmlu-llm-7B-Uncensored-GGUF

Optimized quantized models for efficient inference

📋 Overview

A collection of optimized GGUF quantized models derived from vmlu-llm-7B-Uncensored, providing various performance-quality tradeoffs.

💎 Model Variants

Variant	Use Case	Download
Q2_K	Basic text completion tasks	📥
Q3_K_M	Memory-efficient quality operations	📥
Q4_K_S	Balanced performance and quality	📥
Q4_K_M	Balanced performance and quality	📥
Q5_K_S	Enhanced quality text generation	📥
Q5_K_M	Enhanced quality text generation	📥
Q6_K	Superior quality outputs	📥
Q8_0	Maximum quality, production-grade results	📥

🤝 Contributors

Developed with ❤️ by BlossomAI

_{Star ⭐️ this repo if you find it valuable!}

README history 2 versions

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

2025-02-11Update README.md76fec352 KB
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2024-12-12Create README.md163f63188 B
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BlossomsAI/vmlu-llm-7B-Uncensored-GGUF

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