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lumen-models/Qwen2.5-7B-Instruct-abliterated-v2-Q4_K_M-GGUF

lumen-models Qwen 7B GGUF second-order 33K ctx
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     "https://abliteration.org/api/v1/models/lumen-models%2FQwen2.5-7B-Instruct-abliterated-v2-Q4_K_M-GGUF"
Response includes
  • classification m8
  • files 3
  • benchmarks 5 entries
  • hub_downloads_all_time 6,057
  • author_summary 1 models
  • readme_text full
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What "m8" means · taxonomy
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 direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
M1 Direct removal →
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=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
How we label → About M8 →
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
6K
5K last 30d - active
HF trending score
2
mild recent interest
Likes
7
Model age
4mo ago
created 2026-06-11
Downloads over time
Now10.1K→from144↑6,935%
03.7K7.4K11.1K144 on Jun 1010.1K on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 58 snapshots · spans 123 days

Benchmarks

Benchmark Score Source
BBH average 0.4861849785964457 OpenLLM-v2
IFEval instruct 0.7985611510791367 OpenLLM-v2
IFEval-Prompt 0.722735674676525 OpenLLM-v2
MATH lvl 5 0 OpenLLM-v2
MMLU-Pro 0.42079454787234044 OpenLLM-v2

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.

huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2↓ 6,750 this lineage
lumen-models/Qwen2.5-7B-Instruct-abliterated-v2-Q4_K_M-GGUF↓ 5,137

Metadata

License
apache-2.0
Languages
es en
Tags
transformers gguf uncensored abliterated text-generation qwen es en base_model:huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2 base_model:quantized:huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2 license:apache-2.0 endpoints_compatible

Related

Same base model
mradermacher/Qwen2.5-7B-Instruct-abliterated-v2-GGUF 12K KebalBaguette/Qwen2.5-7B-Instruct-abliterated-v2-AWQ 3K mradermacher/Qwen2.5-7B-Instruct-abliterated-v2-i1-GGUF 2K MaziyarPanahi/Qwen2.5-7B-Instruct-abliterated-v2-GGUF 982 featherless-ai-quants/huihui-ai-Qwen2.5-7B-Instruct-abliterated-v2-GGUF 889
Total size
4.36 GB
Files
3
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-06-11 17:02
Source huggingface.co/lumen-models/Qwen2.5-7B-Instruct-abliterated-v2-Q4_K_M-GGUF ↗ Base model huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2 →

Files by quantization

Auxiliary files 3 files 4.36 GB
qwen2.5-7b-instruct-abliterated-v2-q4_k_m.gguf 4.36 GB 1fc9afc2 download
README.md 2.26 KB 8308d5d0 download
.gitattributes 1.56 KB 2fd38c1c download

README current version from Hugging Face

library_name: transformers
license: apache-2.0
license_link: >-
https://huggingface.co/huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2/blob/main/LICENSE
language:

  • es
  • en
    pipeline_tag: text-generation
    base_model:
  • huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2
    tags:
  • gguf
  • uncensored
  • abliterated
  • text-generation
  • qwen

Qwen 2.5 7B Instruct Abliterated v2 (Spanish Friendly) - GGUF 🚀

Este repositorio contiene el modelo Qwen 2.5 7B Instruct (v2), liberado de censura mediante la avanzada técnica Abliterated por huihui-ai, y convertido al formato ligero GGUF (Cuantización Q4_K_M) por Lumen Models.

Está optimizado para ejecutarse de forma 100% local, privada y eficiente en ordenadores comunes (8GB - 16GB de RAM) utilizando programas gratuitos como LM Studio, Ollama, Jan o Faraday.

🔥 Características Destacadas:

  • 100% Uncensored / Abliterated: Libre de filtros morales, sermones o bloqueos corporativos. Responde de forma directa y madura a cualquier solicitud de escritura creativa, juegos de rol (RP), análisis de textos complejos o investigación sin restricciones.
  • Spanish Native Performance: Una de las mejores arquitecturas del mundo (Qwen 2.5) con una fluidez, vocabulario, gramática y comprensión espectaculares en español nativo.
  • Formato Optimizado Q4_K_M: El método de cuantización más recomendado por la comunidad en Reddit y Hugging Face. Reduce el peso del modelo drásticamente manteniendo casi intacta la inteligencia del modelo original.

💻 ¿Cómo usarlo localmente?

  1. Descarga el archivo .gguf de la pestaña Files and versions.
  2. Ábrelo en tu software favorito:
    • LM Studio: Arrastra el archivo a la carpeta de modelos y cárgalo.
    • Ollama: Crea un Modelfile apuntando a este archivo.
  3. ¡Disfruta de una IA inteligente, rápida y totalmente libre en tu PC!

⚠️ Disclaimer (Descargo de responsabilidad)

Este modelo se comparte exclusivamente con fines de investigación, literatura creativa, testeo de ciberseguridad y desarrollo local privado. Lumen Models actúa únicamente como distribuidor del formato optimizado GGUF y no se hace responsable de las opiniones, sesgos, contenidos generados o del uso final que los usuarios den a las respuestas del modelo.

README history 3 versions

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

  1. 2026-06-11Update README.md2a2f5b32.3 KB
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  2. 2026-06-11Update README.md75e2fed2.3 KB
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  3. 2026-06-11Upload README.md with huggingface_hub5008bfd2.2 KB
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