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mradermacher/Qwen3-1.7B-jailbreak-finetuned-i1-GGUF

mradermacher Qwen 1.7B GGUF 41K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 6,122
  • author_summary 3324 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

No other method signals detected in this model.
Confidence
HIGH
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)
  • is_gguf=1
  • base_model='Sanraj/Qwen3-1.7B-jailbreak-finetuned' (source unknown method)
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
6K
1K last 30d - stable
Likes
0
Model age
11mo ago
created 2025-11-12

Training datasets

1 of 1 in /datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now6.4K→from1.4K↑365%
1.1K3.1K5K6.9K1.4K on Nov 12, 20256.4K on Oct 11Nov '25JanMarMayJulSep
Nov 12, 2025 → Oct 11 · 87 snapshots · spans 333 days

Genealogy 0 direct forks

Full fork graph →

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Variants by this author 2 formats · 1K downloads combined

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

Metadata

License
apache-2.0
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf agent red-teaming en dataset:Sanraj/jailbreaking-prompt-response base_model:Sanraj/Qwen3-1.7B-jailbreak-finetuned base_model:quantized:Sanraj/Qwen3-1.7B-jailbreak-finetuned license:apache-2.0 endpoints_compatible region:us imatrix

Related

Total size
20.2 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-06 19:08

Files by quantization

Q6_K 1 file 1.32 GB
Qwen3-1.7B-jailbreak-finetuned.i1-Q6_K.gguf 1.32 GB 94c48f64 download
Q5_K 2 files 2.32 GB
Qwen3-1.7B-jailbreak-finetuned.i1-Q5_K_M.gguf 1.17 GB 6dd7c994 download
Qwen3-1.7B-jailbreak-finetuned.i1-Q5_K_S.gguf 1.15 GB b8ff1cd6 download
Q4 2 files 2.05 GB
Qwen3-1.7B-jailbreak-finetuned.i1-Q4_1.gguf 1.06 GB 4a273840 download
Qwen3-1.7B-jailbreak-finetuned.i1-Q4_0.gguf 1008 MB 1c3767ea download
Q4_K 2 files 2.02 GB
Qwen3-1.7B-jailbreak-finetuned.i1-Q4_K_M.gguf 1.03 GB 142ecced download
Qwen3-1.7B-jailbreak-finetuned.i1-Q4_K_S.gguf 1011 MB 84cc2f69 download
IQ4 2 files 1.92 GB
Qwen3-1.7B-jailbreak-finetuned.i1-IQ4_NL.gguf 1006 MB 03e1d8fc download
Qwen3-1.7B-jailbreak-finetuned.i1-IQ4_XS.gguf 964 MB 0a217358 download
Q3_K 3 files 2.62 GB
Qwen3-1.7B-jailbreak-finetuned.i1-Q3_K_L.gguf 957 MB 1a35cd28 download
Qwen3-1.7B-jailbreak-finetuned.i1-Q3_K_M.gguf 896 MB 95b49d23 download
Qwen3-1.7B-jailbreak-finetuned.i1-Q3_K_S.gguf 827 MB 66d8d3ae download
IQ3 4 files 3.12 GB
Qwen3-1.7B-jailbreak-finetuned.i1-IQ3_M.gguf 854 MB 62fc6bd2 download
Qwen3-1.7B-jailbreak-finetuned.i1-IQ3_S.gguf 827 MB 2fa0f1a6 download
Qwen3-1.7B-jailbreak-finetuned.i1-IQ3_XS.gguf 796 MB 319247ec download
Qwen3-1.7B-jailbreak-finetuned.i1-IQ3_XXS.gguf 719 MB 27c0d02e download
Q2_K 2 files 1.41 GB
Qwen3-1.7B-jailbreak-finetuned.i1-Q2_K.gguf 742 MB 3d94451c download
Qwen3-1.7B-jailbreak-finetuned.i1-Q2_K_S.gguf 699 MB 0f20544e download
IQ2 4 files 2.40 GB
Qwen3-1.7B-jailbreak-finetuned.i1-IQ2_M.gguf 663 MB ed34ce75 download
Qwen3-1.7B-jailbreak-finetuned.i1-IQ2_S.gguf 627 MB 72f28d6e download
Qwen3-1.7B-jailbreak-finetuned.i1-IQ2_XS.gguf 602 MB 70ed7b55 download
Qwen3-1.7B-jailbreak-finetuned.i1-IQ2_XXS.gguf 563 MB 8b9fd30f download
IQ1 2 files 1010 MB
Qwen3-1.7B-jailbreak-finetuned.i1-IQ1_M.gguf 519 MB 3422f5e0 download
Qwen3-1.7B-jailbreak-finetuned.i1-IQ1_S.gguf 492 MB ac822c09 download
Auxiliary files 3 files 2.01 MB
Qwen3-1.7B-jailbreak-finetuned.imatrix.gguf 2.00 MB f57a98f2 download
README.md 6.62 KB 9a7f976a download
.gitattributes 3.47 KB 5fd9a5db download

README current version from Hugging Face


base_model: Sanraj/Qwen3-1.7B-jailbreak-finetuned
datasets:

  • Sanraj/jailbreaking-prompt-response
    language:
  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • agent
  • red-teaming

About

weighted/imatrix quants of https://huggingface.co/Sanraj/Qwen3-1.7B-jailbreak-finetuned

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Qwen3-1.7B-jailbreak-finetuned-GGUF

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 imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 0.6 for the desperate
GGUF i1-IQ1_M 0.6 mostly desperate
GGUF i1-IQ2_XXS 0.7
GGUF i1-IQ2_XS 0.7
GGUF i1-IQ2_S 0.8
GGUF i1-IQ2_M 0.8
GGUF i1-Q2_K_S 0.8 very low quality
GGUF i1-IQ3_XXS 0.9 lower quality
GGUF i1-Q2_K 0.9 IQ3_XXS probably better
GGUF i1-IQ3_XS 0.9
GGUF i1-IQ3_S 1.0 beats Q3_K*
GGUF i1-Q3_K_S 1.0 IQ3_XS probably better
GGUF i1-IQ3_M 1.0
GGUF i1-Q3_K_M 1.0 IQ3_S probably better
GGUF i1-Q3_K_L 1.1 IQ3_M probably better
GGUF i1-IQ4_XS 1.1
GGUF i1-IQ4_NL 1.2 prefer IQ4_XS
GGUF i1-Q4_0 1.2 fast, low quality
GGUF i1-Q4_K_S 1.2 optimal size/speed/quality
GGUF i1-Q4_K_M 1.2 fast, recommended
GGUF i1-Q4_1 1.2
GGUF i1-Q5_K_S 1.3
GGUF i1-Q5_K_M 1.4
GGUF i1-Q6_K 1.5 practically like static Q6_K

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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

README history 4 versions

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

  1. 2025-12-06auto-patch README.md77cd1d86.6 KB
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  2. 2025-11-12auto-patch README.mdb13ee3a6.6 KB
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  3. 2025-11-12auto-patch README.mdb587c902.5 KB
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  4. 2025-11-12uploaded from rainefc7a1f483 B
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