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matrixportalx/gemma-3-12b-it-abliterated-GGUF

matrixportalx Gemma 12B GGUF multimodal second-order 131K ctx
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Response includes
  • classification m8
  • files 15
  • hub_downloads_all_time 7,315
  • author_summary 44 models
  • readme_text full
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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
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
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.

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Downloads · lifetime
7K
537 last 30d - cooling
Likes
0
Model age
18mo ago
created 2025-03-31
Downloads over time
Now7.5K→from1.2K↑511%
9143.3K5.7K8.1K1.2K on Jul 30, 20257.5K on Oct 11Jul '25Sep '25Nov '25JanMarMayJulSep
Jul 30, 2025 → Oct 11 · 105 snapshots · spans 438 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.

Variants by this author 2 formats · 628 downloads combined

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

Metadata

License
gemma
Quantizations
F16
Tags
transformers gguf llama-cpp matrixportal image-text-to-text base_model:mlabonne/gemma-3-12b-it-abliterated base_model:quantized:mlabonne/gemma-3-12b-it-abliterated license:gemma endpoints_compatible region:us conversational

Related

Total size
107 GB
Files
15
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2025-03-31 17:02

Files by quantization

F16 1 file 21.9 GB
gemma-3-12b-it-abliterated-f16.gguf 21.9 GB 1941e7a6 download
Auxiliary files 14 files 84.7 GB
gemma-3-12b-it-abliterated-q8_0.gguf 11.7 GB bf520d13 download
gemma-3-12b-it-abliterated-q6_k.gguf 9.00 GB bb337ed3 download
gemma-3-12b-it-abliterated-q5_k_m.gguf 7.87 GB b1d1f53b download
gemma-3-12b-it-abliterated-q5_0.gguf 7.67 GB 1e68cdf7 download
gemma-3-12b-it-abliterated-q5_k_s.gguf 7.67 GB 854d1e36 download
gemma-3-12b-it-abliterated-q4_k_m.gguf 6.80 GB 4958a5df download
gemma-3-12b-it-abliterated-q4_k_s.gguf 6.46 GB b6b7dc44 download
gemma-3-12b-it-abliterated-q4_0.gguf 6.41 GB 9f180526 download
gemma-3-12b-it-abliterated-q3_k_l.gguf 6.04 GB d705358e download
gemma-3-12b-it-abliterated-q3_k_m.gguf 5.60 GB e8ec9432 download
gemma-3-12b-it-abliterated-q3_k_s.gguf 5.08 GB 2b962e21 download
gemma-3-12b-it-abliterated-q2_k.gguf 4.44 GB 916ed72a download
README.md 8.37 KB 82cbee44 download
.gitattributes 2.42 KB 128f4e3f download

README current version from Hugging Face


base_model: mlabonne/gemma-3-12b-it-abliterated
library_name: transformers
license: gemma
pipeline_tag: image-text-to-text
tags:

  • llama-cpp
  • matrixportal

matrixportal/gemma-3-12b-it-abliterated-GGUF

This model was converted to GGUF format from mlabonne/gemma-3-12b-it-abliterated using llama.cpp via the ggml.ai's all-gguf-same-where space.
Refer to the original model card for more details on the model.

✅ Quantized Models Download List

🔍 Recommended Quantizations

  • ✨ General CPU Use: Q4_K_M (Best balance of speed/quality)
  • 📱 ARM Devices: Q4_0 (Optimized for ARM CPUs)
  • 🏆 Maximum Quality: Q8_0 (Near-original quality)

📦 Full Quantization Options

🚀 Download 🔢 Type 📝 Notes
Download Q2_K Basic quantization
Download Q3_K_S Small size
Download Q3_K_M Balanced quality
Download Q3_K_L Better quality
Download Q4_0 Fast on ARM
Download Q4_K_S Fast, recommended
Download Q4_K_M ⭐ Best balance
Download Q5_0 Good quality
Download Q5_K_S Balanced
Download Q5_K_M High quality
Download Q6_K 🏆 Very good quality
Download Q8_0 ⚡ Fast, best quality
Download F16 Maximum accuracy

💡 Tip: Use F16 for maximum precision when quality is critical


🚀 Applications and Tools for Locally Quantized LLMs

🖥️ Desktop Applications

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Llama.cpp A fast and efficient inference engine for GGUF models. GitHub Repository
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AnythingLLM An AI-powered knowledge management tool. GitHub Repository
Open WebUI A user-friendly web interface for running local LLMs. GitHub Repository
GPT4All A user-friendly desktop application supporting various LLMs, compatible with GGUF models. GitHub Repository
LM Studio A desktop application designed to run and manage local LLMs, supporting GGUF format. Website
GPT4All Chat A chat application compatible with GGUF models for local, offline interactions. GitHub Repository

📱 Mobile Applications

Application Description Download Link
ChatterUI A simple and lightweight LLM app for mobile devices. GitHub Repository
Maid Mobile Artificial Intelligence Distribution for running AI models on mobile devices. GitHub Repository
PocketPal AI A mobile AI assistant powered by local models. GitHub Repository
Layla A flexible platform for running various AI models on mobile devices. Website

🎨 Image Generation Applications

Application Description Download Link
Stable Diffusion An open-source AI model for generating images from text. GitHub Repository
Stable Diffusion WebUI A web application providing access to Stable Diffusion models via a browser interface. GitHub Repository
Local Dream Android Stable Diffusion with Snapdragon NPU acceleration. Also supports CPU inference. GitHub Repository
Stable-Diffusion-Android (SDAI) An open-source AI art application for Android devices, enabling digital art creation. GitHub Repository

README history 1 version

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

  1. 2025-03-31Upload README.md with huggingface_hub20722908.4 KB
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