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mradermacher/Llama-3.2-3B-Instruct-uncensored_SQLi-GGUF

mradermacher Llama 3B GGUF second-order 131K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FLlama-3.2-3B-Instruct-uncensored_SQLi-GGUF"
Response includes
  • classification m8
  • files 14
  • hub_downloads_all_time 1,988
  • author_summary 3324 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
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=mradermacher (M8 quantization producer, never originator)
  • is_gguf=1
  • base_model='PurpleAILAB/Llama-3.2-3B-Instruct-uncensored_SQLi' (base has 'abliterated' marker, assume M1 default)
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
154 last 30d - cooling
Likes
1
Model age
19mo ago
created 2025-02-27
Downloads over time
Now2K→from361↑458%
2789121.5K2.2K361 on Feb 26, 20252K on Oct 11Feb '25May '25Aug '25Nov '25FebMayAug
Feb 26, 2025 → Oct 11 · 124 snapshots · spans 592 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.

Metadata

Languages
en
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf en base_model:PurpleAILAB/Llama-3.2-3B-Instruct-uncensored_SQLi base_model:quantized:PurpleAILAB/Llama-3.2-3B-Instruct-uncensored_SQLi endpoints_compatible region:us conversational

Related

Total size
27.3 GB
Files
14
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2025-02-27 14:00

Files by quantization

F16 1 file 5.99 GB
Llama-3.2-3B-Instruct-uncensored_SQLi.f16.gguf 5.99 GB 2eac3987 download
Q8_0 1 file 3.19 GB
Llama-3.2-3B-Instruct-uncensored_SQLi.Q8_0.gguf 3.19 GB b28600a9 download
Q6_K 1 file 2.46 GB
Llama-3.2-3B-Instruct-uncensored_SQLi.Q6_K.gguf 2.46 GB 5001645b download
Q5_K 2 files 4.28 GB
Llama-3.2-3B-Instruct-uncensored_SQLi.Q5_K_M.gguf 2.16 GB eaf5f5e0 download
Llama-3.2-3B-Instruct-uncensored_SQLi.Q5_K_S.gguf 2.11 GB df5f0c08 download
Q4_K 2 files 3.68 GB
Llama-3.2-3B-Instruct-uncensored_SQLi.Q4_K_M.gguf 1.88 GB a4036801 download
Llama-3.2-3B-Instruct-uncensored_SQLi.Q4_K_S.gguf 1.80 GB acff321b download
IQ4 1 file 1.71 GB
Llama-3.2-3B-Instruct-uncensored_SQLi.IQ4_XS.gguf 1.71 GB 86705070 download
Q3_K 3 files 4.70 GB
Llama-3.2-3B-Instruct-uncensored_SQLi.Q3_K_L.gguf 1.69 GB 689b142f download
Llama-3.2-3B-Instruct-uncensored_SQLi.Q3_K_M.gguf 1.57 GB a96dd2a2 download
Llama-3.2-3B-Instruct-uncensored_SQLi.Q3_K_S.gguf 1.44 GB 81e4c101 download
Q2_K 1 file 1.27 GB
Llama-3.2-3B-Instruct-uncensored_SQLi.Q2_K.gguf 1.27 GB be0474be download
Auxiliary files 2 files 6.25 KB
README.md 3.77 KB 16743038 download
.gitattributes 2.48 KB 9bedb47d download

README current version from Hugging Face


base_model: PurpleAILAB/Llama-3.2-3B-Instruct-uncensored_SQLi
language:

  • en
    library_name: transformers
    quantized_by: mradermacher

About

static quants of https://huggingface.co/PurpleAILAB/Llama-3.2-3B-Instruct-uncensored_SQLi

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs
for
more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link Type Size/GB Notes
GGUF Q2_K 1.5
GGUF Q3_K_S 1.6
GGUF Q3_K_M 1.8 lower quality
GGUF Q3_K_L 1.9
GGUF IQ4_XS 1.9
GGUF Q4_K_S 2.0 fast, recommended
GGUF Q4_K_M 2.1 fast, recommended
GGUF Q5_K_S 2.4
GGUF Q5_K_M 2.4
GGUF Q6_K 2.7 very good quality
GGUF Q8_0 3.5 fast, best quality
GGUF f16 6.5 16 bpw, overkill

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

image.png

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.

README history 2 versions

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

  1. 2025-02-27auto-patch README.md1f9b8573.8 KB
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  2. 2025-02-27uploaded from rich14f240a7239 B
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