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mradermacher/OpenCoder-8B-Instruct-abliterated-i1-GGUF

mradermacher 8B GGUF second-order 8K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 4,616
  • 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 layer-wise ablation 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='huihui-ai/OpenCoder-8B-Instruct-abliterated' (base is huihui-ai model (M3))
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
5K
655 last 30d - stable
Likes
1
Model age
18mo ago
created 2025-04-05

Training 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
Now4.8K→from170↑2,726%
01.8K3.5K5.3K170 on Apr 2, 20254.8K on Oct 114.8K on Oct 10Apr '25Jul '25Oct '25JanAprJulOct
Apr 2, 2025 → Oct 11 · 119 snapshots · spans 557 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.

Variants by this author 2 formats · 806 downloads combined

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

Metadata

License
other
Languages
en zh
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored en zh dataset:OpenCoder-LLM/opencoder-sft-stage1 dataset:OpenCoder-LLM/opencoder-sft-stage2 license:other endpoints_compatible region:us imatrix

Related

Total size
83.6 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-11 06:39

Files by quantization

Q6_K 1 file 5.94 GB
OpenCoder-8B-Instruct-abliterated.i1-Q6_K.gguf 5.94 GB faad4b06 download
Q5_K 2 files 10.2 GB
OpenCoder-8B-Instruct-abliterated.i1-Q5_K_M.gguf 5.15 GB f5759c41 download
OpenCoder-8B-Instruct-abliterated.i1-Q5_K_S.gguf 5.03 GB d1a53490 download
Q4 2 files 8.78 GB
OpenCoder-8B-Instruct-abliterated.i1-Q4_1.gguf 4.60 GB f6bd5827 download
OpenCoder-8B-Instruct-abliterated.i1-Q4_0.gguf 4.18 GB 97e7674f download
Q4_K 2 files 8.61 GB
OpenCoder-8B-Instruct-abliterated.i1-Q4_K_M.gguf 4.41 GB c2c0e8dc download
OpenCoder-8B-Instruct-abliterated.i1-Q4_K_S.gguf 4.20 GB 809afa8d download
IQ4 2 files 8.16 GB
OpenCoder-8B-Instruct-abliterated.i1-IQ4_NL.gguf 4.18 GB a25e2098 download
OpenCoder-8B-Instruct-abliterated.i1-IQ4_XS.gguf 3.97 GB aa7e977e download
Q3_K 3 files 10.7 GB
OpenCoder-8B-Instruct-abliterated.i1-Q3_K_L.gguf 3.87 GB 6f93c729 download
OpenCoder-8B-Instruct-abliterated.i1-Q3_K_M.gguf 3.59 GB d20b9f97 download
OpenCoder-8B-Instruct-abliterated.i1-Q3_K_S.gguf 3.26 GB 7c7034d4 download
IQ3 4 files 12.7 GB
OpenCoder-8B-Instruct-abliterated.i1-IQ3_M.gguf 3.37 GB 09dc7457 download
OpenCoder-8B-Instruct-abliterated.i1-IQ3_S.gguf 3.27 GB d44ac4c4 download
OpenCoder-8B-Instruct-abliterated.i1-IQ3_XS.gguf 3.12 GB 186b0999 download
OpenCoder-8B-Instruct-abliterated.i1-IQ3_XXS.gguf 2.91 GB bbd046cd download
Q2_K 2 files 5.46 GB
OpenCoder-8B-Instruct-abliterated.i1-Q2_K.gguf 2.82 GB 0783284f download
OpenCoder-8B-Instruct-abliterated.i1-Q2_K_S.gguf 2.64 GB 62fc24a7 download
IQ2 4 files 9.44 GB
OpenCoder-8B-Instruct-abliterated.i1-IQ2_M.gguf 2.61 GB e0c2594c download
OpenCoder-8B-Instruct-abliterated.i1-IQ2_S.gguf 2.43 GB 9f16cfd7 download
OpenCoder-8B-Instruct-abliterated.i1-IQ2_XS.gguf 2.30 GB d5596173 download
OpenCoder-8B-Instruct-abliterated.i1-IQ2_XXS.gguf 2.11 GB 40909b2c download
IQ1 2 files 3.64 GB
OpenCoder-8B-Instruct-abliterated.i1-IQ1_M.gguf 1.89 GB bd491b24 download
OpenCoder-8B-Instruct-abliterated.i1-IQ1_S.gguf 1.75 GB 082f5fd4 download
Auxiliary files 3 files 4.77 MB
imatrix.dat 4.76 MB 45976c20 download
README.md 6.50 KB 89a8d743 download
.gitattributes 3.51 KB aefdde4f download

README current version from Hugging Face


base_model: huihui-ai/OpenCoder-8B-Instruct-abliterated
datasets:


About

weighted/imatrix quants of https://huggingface.co/huihui-ai/OpenCoder-8B-Instruct-abliterated

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

static quants are available at https://huggingface.co/mradermacher/OpenCoder-8B-Instruct-abliterated-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 i1-IQ1_S 2.0 for the desperate
GGUF i1-IQ1_M 2.1 mostly desperate
GGUF i1-IQ2_XXS 2.4
GGUF i1-IQ2_XS 2.6
GGUF i1-IQ2_S 2.7
GGUF i1-IQ2_M 2.9
GGUF i1-Q2_K_S 2.9 very low quality
GGUF i1-Q2_K 3.1 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.2 lower quality
GGUF i1-IQ3_XS 3.5
GGUF i1-Q3_K_S 3.6 IQ3_XS probably better
GGUF i1-IQ3_S 3.6 beats Q3_K*
GGUF i1-IQ3_M 3.7
GGUF i1-Q3_K_M 4.0 IQ3_S probably better
GGUF i1-Q3_K_L 4.3 IQ3_M probably better
GGUF i1-IQ4_XS 4.4
GGUF i1-Q4_0 4.6 fast, low quality
GGUF i1-IQ4_NL 4.6 prefer IQ4_XS
GGUF i1-Q4_K_S 4.6 optimal size/speed/quality
GGUF i1-Q4_K_M 4.8 fast, recommended
GGUF i1-Q4_1 5.0
GGUF i1-Q5_K_S 5.5
GGUF i1-Q5_K_M 5.6
GGUF i1-Q6_K 6.5 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. 2025-07-11auto-patch README.md0cf4a826.5 KB
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  2. 2025-07-10auto-patch README.md550face6.5 KB
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  3. 2025-04-06auto-patch README.md380bc8f6.3 KB
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  4. 2025-04-05uploaded from rich175ba613251 B
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