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PocketWeights/Gemma-4-12B-agentic-abliterated-GGUF

PocketWeights Gemma 12B GGUF second-order 262K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/PocketWeights%2FGemma-4-12B-agentic-abliterated-GGUF"
Response includes
  • classification m8
  • files 8
  • hub_downloads_all_time 1,540
  • author_summary 5 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
2K
307 last 30d - stable
Likes
1
Model age
2mo ago
created 2026-08-03
Downloads over time
Now1.6K→from402↑302%
3418071.3K1.7K402 on Aug 51.6K on Oct 111.6K on Oct 10AugSepOct
Aug 5 → Oct 11 · 50 snapshots · spans 67 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.

huihui-ai/Huihui-gemma-4-12B-agentic-fable5-abliterated↓ 227 this lineage
PocketWeights/Gemma-4-12B-agentic-abliterated-GGUF↓ 307

Metadata

License
gemma
Quantizations
IQ3 Q4_K
Tags
gguf quantized gemma gemma4 agentic abliterated uncensored conversational pocketweights text-generation base_model:huihui-ai/Huihui-gemma-4-12B-agentic-fable5-abliterated base_model:quantized:huihui-ai/Huihui-gemma-4-12B-agentic-fable5-abliterated

Related

Other by PocketWeights
Qwen3-8B-abliterated-GGUF 1K Llama-3.1-8B-Instruct-abliterated-GGUF 423 DeepSeek-R1-Llama-8B-Abliterated-GGUF 205 Gliese-Qwen3.5-9B-Abliterated-WebGGUF 152
Same base model
mradermacher/Huihui-gemma-4-12B-agentic-fable5-abliterated-i1-GGUF 3K mradermacher/Huihui-gemma-4-12B-agentic-fable5-abliterated-GGUF 2K
Total size
12.2 GB
Files
8
Quantizations
3
Registered
2026-08-22 13:56
Last updated on HF
2026-08-27 11:11
Source huggingface.co/PocketWeights/Gemma-4-12B-agentic-abliterated-GGUF ↗ Base model huihui-ai/Huihui-gemma-4-12B-agentic-fable5-abliterated →

Files by quantization

Q4_K 1 file 6.87 GB
Gemma-4-12B-agentic-abliterated-GGUF-Q4_K_M.gguf 6.87 GB 3387df58 download
IQ3 1 file 5.34 GB
Gemma-4-12B-agentic-abliterated-GGUF-IQ3_M.gguf 5.34 GB e2fb249f download
Auxiliary files 6 files 6.34 KB
artifact-manifest.json 1.65 KB 37682fde download
.gitattributes 1.65 KB 6dab8136 download
quantization-meta.json 1.48 KB 482f9cdc download
README.md 1.33 KB a71dc102 download
Gemma-4-12B-agentic-abliterated-GGUF-Q4_K_M.gguf.sha256 115 B efbf2926 download
Gemma-4-12B-agentic-abliterated-GGUF-IQ3_M.gguf.sha256 114 B b1a09a2f download

README current version from Hugging Face

base_model: huihui-ai/Huihui-gemma-4-12B-agentic-fable5-abliterated
library_name: gguf
license: gemma
tags:

  • gguf
  • quantized
  • abliterated

⚡ PocketWeights: Gemma-4-12B-agentic-abliterated-GGUF

Heavy models, made light. We specialize in high-quality GGUF quantizations optimized for edge devices and gaming laptops.

What is this model?
This is an optimized GGUF of huihui-ai/Huihui-gemma-4-12B-agentic-fable5-abliterated. It is designed to provide massive reasoning capabilities while fitting perfectly into consumer hardware.

📦 Pick Your Hardware

We bypass the confusing wall of files to provide specific sizes optimized for your hardware:

  • IQ3_M (Fits hardware constraint): For older laptops (GTX 1650, RTX 3050).
  • Q4_K_M (Fits hardware constraint): The standard. Perfect for RTX 3060/4050.

🚀 Quick Start Guide

Option 1: LM Studio (Easiest)

  1. Download & open LM Studio.
  2. In the search bar, type: PocketWeights/Gemma-4-12B-agentic-abliterated-GGUF.
  3. Select your hardware size, click Download, and hit Play!

Option 2: Ollama

If you have Ollama installed, simply run this command in your terminal:

ollama run hf.co/PocketWeights/Gemma-4-12B-agentic-abliterated-GGUF:Q4_K_M

README history 2 versions

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

  1. 2026-08-27Update README.md6c04c214.5 KB
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  2. 2026-08-03Add GGUF artifacts (IQ3_M, Q4_K_M) @ 2026-08-03T16:14:22.895257+00:008e6c7061.3 KB
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