base_model:
- mlabonne/gemma-3-27b-it-abliterated-v2
pipeline_tag: text-generation
Quantized version of: mlabonne/gemma-3-27b-it-abliterated-v2
'Make knowledge free for everyone'
Made with
DevQuasar/mlabonne.gemma-3-27b-it-abliterated-v2-GGUF
Your rig
guess connected
? Why do I need an app?
The browser can't see your hardware
For privacy reasons a browser tells us at most "≥ 8 GB RAM, 8 cores" - same reading whether you have 8 GB or 128 GB. It has no idea how much RAM is free right now, which apps are open, or whether you have a GPU.
The Abliteration app is integrated with your machine
It reads your exact RAM, GPU model and VRAM, free memory right now, and picks the sharpest quant that still fits. Every model page lights up precisely for your rig.
And you can chat with any model, right now
The app is a full local runtime - no API keys, no subscription, everything runs on your machine. Click any model on this site and start a conversation in seconds.
Get the free app → Reading your rig…
This is a rough estimate. Install the free app - we'll show exact numbers.
Reading real hardware from your app right now. Numbers below are exact.
Below is the per-quantization compatibility for this model.
curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/DevQuasar%2Fmlabonne.gemma-3-27b-it-abliterated-v2-GGUF" Response includes
- classification m8
- files 14
- hub_downloads_all_time 12,645
- author_summary 54 models
- readme_text full
Abliteration classifier · v1.0.0
M8
Primary method
Repackaging (quantization)
Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
- author=devquasar (M8 quantization producer)
- is_gguf=1
- base_model='mlabonne/gemma-3-27b-it-abliterated-v2' looks abliterated -> assume M1
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
13K
141 last 30d
- cooling
Likes
0
Model age
16mo ago
created 2025-05-30
Downloads over time
May 28, 2025 → Oct 11 · 111 snapshots · spans 501 days
Genealogy
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
Related
Source huggingface.co/DevQuasar/mlabonne.gemma-3-27b-it-abliterated-v2-GGUF ↗ Base model mlabonne/gemma-3-27b-it-abliterated-v2 ↗
Files by quantization
Q8_0 1 file 26.7 GB - ★ recommended for you
| mlabonne.gemma-3-27b-it-abliterated-v2.Q8_0.gguf | 26.7 GB | e9e8ff2e | download |
Q6_K 1 file 20.6 GB - ★ recommended for you
| mlabonne.gemma-3-27b-it-abliterated-v2.Q6_K.gguf | 20.6 GB | 4b23bf21 | download |
Q5_K 2 files 35.4 GB - ★ recommended for you
| mlabonne.gemma-3-27b-it-abliterated-v2.Q5_K_M.gguf | 17.9 GB | 80d250d1 | download |
| mlabonne.gemma-3-27b-it-abliterated-v2.Q5_K_S.gguf | 17.5 GB | 3a5364aa | download |
Q4_K 2 files 30.0 GB - ★ recommended for you
| mlabonne.gemma-3-27b-it-abliterated-v2.Q4_K_M.gguf | 15.4 GB | a5129fac | download |
| mlabonne.gemma-3-27b-it-abliterated-v2.Q4_K_S.gguf | 14.6 GB | f97e8152 | download |
Q3_K 3 files 37.4 GB - ★ recommended for you
| mlabonne.gemma-3-27b-it-abliterated-v2.Q3_K_L.gguf | 13.5 GB | bf234e5e | download |
| mlabonne.gemma-3-27b-it-abliterated-v2.Q3_K_M.gguf | 12.5 GB | 7e9e5e83 | download |
| mlabonne.gemma-3-27b-it-abliterated-v2.Q3_K_S.gguf | 11.3 GB | c7c00215 | download |
Q2_K 1 file 9.78 GB - ★ recommended for you
| mlabonne.gemma-3-27b-it-abliterated-v2.Q2_K.gguf | 9.78 GB | 973f4416 | download |
README
README history
The author's README evolved over time. Click a version to see its content at that point.
2025-05-30Upload README.md with huggingface_hub
Loading...