← back to catalog · registered 2026-08-22 13:56

ZeroWw/Llama-3.2-3B-Instruct-abliterated-GGUF

ZeroWw Llama 3B GGUF 131K ctx
Your rig guess connected
? Why do I need an 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/ZeroWw%2FLlama-3.2-3B-Instruct-abliterated-GGUF"
Response includes
  • classification m8
  • files 8
  • hub_downloads_all_time 2,303
  • author_summary 25 models
  • readme_text full
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
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.

What is a refusal direction? →
Downloads · lifetime
2K
221 last 30d - cooling
Likes
2
Model age
2.0y ago
created 2024-10-08
Downloads over time
Now2.4K→from0↑0%
08831.8K2.6K0 on Oct 2, 20242.4K on Oct 11Oct '24Feb '25Jun '25Oct '25FebJunOct
Oct 2, 2024 → Oct 11 · 145 snapshots · spans 739 days

Metadata

License
mit
Languages
en
Quantizations
F16
Tags
gguf text-generation en license:mit endpoints_compatible region:us conversational

Related

Total size
23.9 GB
Files
8
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2024-10-08 21:51

Files by quantization

F16 1 file 6.73 GB
Llama-3.2-3B-Instruct-abliterated.f16.gguf 6.73 GB 45806f82 download
Auxiliary files 7 files 17.2 GB
Llama-3.2-3B-Instruct-abliterated.q8_0.gguf 4.26 GB b3b8a0c9 download
Llama-3.2-3B-Instruct-abliterated.q6_k.gguf 3.63 GB e06922a3 download
Llama-3.2-3B-Instruct-abliterated.q8_p.gguf 3.58 GB c62911a6 download
Llama-3.2-3B-Instruct-abliterated.q5_k.gguf 3.33 GB 68d27e9a download
Llama-3.2-3B-Instruct-abliterated.q8q4.gguf 2.36 GB e5dfa5c5 download
.gitattributes 1.95 KB 2d981679 download
README.md 339 B 81d1588c download

README current version from Hugging Face


license: mit
language:

  • en
    pipeline_tag: text-generation

My own (ZeroWw) quantizations.
output and embed tensors quantized to f16.
all other tensors quantized to q5_k or q6_k.

Result:
both f16.q6 and f16.q5 are smaller than q8_0 standard quantization
and they perform as well as the pure f16.

Updated on: Tue Oct 08, 21:43:50

README history 1 version

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

  1. 2024-10-08Upload folder using huggingface_hub6c799e2339 B
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration