← back to catalog · registered 2026-10-21 08:00

mradermacher/Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base-GGUF

mradermacher 800M GGUF second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FRice-Cracker-Qwen3.5-0.8B-Abliterated-Base-GGUF"
Response includes
  • classification m8
  • files 14
  • author_summary 3371 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='dalatexcoder/Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base' (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.

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Downloads · 30-day
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Likes
0
Model age
today
created 2026-10-21

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Languages
en
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf heretic abliterated mlx en base_model:dalatexcoder/Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base base_model:quantized:dalatexcoder/Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base license:apache-2.0 endpoints_compatible region:us conversational

Related

Total size
6.94 GB
Files
14
Quantizations
9
Registered
2026-10-21 08:00
Last updated on HF
2026-10-21 08:00

Files by quantization

F16 1 file 1.41 GB
Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base.f16.gguf 1.41 GB 03a0ee01 download
Q8_0 1 file 774 MB
Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base.Q8_0.gguf 774 MB c02f5764 download
Q6_K 1 file 601 MB
Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base.Q6_K.gguf 601 MB bdf3d0f1 download
Q5_K 2 files 1.06 GB
Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base.Q5_K_M.gguf 551 MB 0b084227 download
Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base.Q5_K_S.gguf 538 MB 74abb66e download
Q4_K 2 files 987 MB
Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base.Q4_K_M.gguf 505 MB d8d9807c download
Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base.Q4_K_S.gguf 482 MB ccb7cdbd download
IQ4 1 file 482 MB
Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base.IQ4_XS.gguf 482 MB 00083a65 download
Q3_K 3 files 1.30 GB
Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base.Q3_K_L.gguf 469 MB 0ed453e7 download
Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base.Q3_K_M.gguf 445 MB 08632cc4 download
Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base.Q3_K_S.gguf 415 MB 5a24bdc9 download
Q2_K 1 file 403 MB
Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base.Q2_K.gguf 403 MB ba164419 download
Auxiliary files 2 files 6.90 KB
README.md 4.36 KB 897b9a83 download
.gitattributes 2.54 KB 429b48b2 download

README current version from Hugging Face


base_model: dalatexcoder/Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base
language:


About

static quants of https://huggingface.co/dalatexcoder/Rice-Cracker-Qwen3.5-0.8B-Abliterated-Base

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

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 0.5
GGUF Q3_K_S 0.5
GGUF Q3_K_M 0.6 lower quality
GGUF Q3_K_L 0.6
GGUF Q4_K_S 0.6 fast, recommended
GGUF IQ4_XS 0.6
GGUF Q4_K_M 0.6 fast, recommended
GGUF Q5_K_S 0.7
GGUF Q5_K_M 0.7
GGUF Q6_K 0.7 very good quality
GGUF Q8_0 0.9 fast, best quality
GGUF f16 1.6 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.

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