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mradermacher/Qwen2.5-Coder-0.5B-Instruct-abliterated-i1-GGUF

mradermacher Qwen 500M GGUF second-order 33K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 8,769
  • 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/Qwen2.5-Coder-0.5B-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
9K
1K last 30d - stable
Likes
0
Model age
23mo ago
created 2024-11-13
Downloads over time
Now9K→from577↑1,453%
03.3K6.6K9.8K577 on Nov 13, 20249K on Oct 11Nov '24Feb '25May '25Aug '25Nov '25FebMayAug
Nov 13, 2024 → Oct 11 · 139 snapshots · spans 697 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 · 2K 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 code codeqwen chat qwen qwen-coder abliterated uncensored en base_model:huihui-ai/Qwen2.5-Coder-0.5B-Instruct-abliterated base_model:quantized:huihui-ai/Qwen2.5-Coder-0.5B-Instruct-abliterated

Related

Total size
7.98 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2024-11-13 23:49

Files by quantization

Q6_K 1 file 482 MB
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-Q6_K.gguf 482 MB 74c2d305 download
Q5_K 2 files 794 MB
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-Q5_K_M.gguf 401 MB 13dc661c download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-Q5_K_S.gguf 394 MB 53df4704 download
Q4_K 2 files 747 MB
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-Q4_K_M.gguf 379 MB 29eb0d2f download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-Q4_K_S.gguf 368 MB fb1a2ce0 download
Q3_K 3 files 1014 MB
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-Q3_K_L.gguf 352 MB f7a57d02 download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-Q3_K_M.gguf 339 MB 30c89d87 download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-Q3_K_S.gguf 323 MB 805cf062 download
Q4 4 files 1.31 GB
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-Q4_0.gguf 337 MB 6691d78f download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-Q4_0_4_4.gguf 336 MB ce185a28 download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-Q4_0_4_8.gguf 336 MB 895cc747 download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-Q4_0_8_8.gguf 336 MB 711eb4c1 download
IQ4 1 file 333 MB
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-IQ4_XS.gguf 333 MB 37ac3e83 download
IQ3 4 files 1.26 GB
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-IQ3_M.gguf 327 MB a24f2f14 download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-IQ3_S.gguf 323 MB 0c609d15 download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-IQ3_XS.gguf 323 MB 02ebd8bb download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-IQ3_XXS.gguf 318 MB 15e16bf7 download
Q2_K 1 file 323 MB
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-Q2_K.gguf 323 MB c55264c9 download
IQ2 4 files 1.21 GB
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-IQ2_M.gguf 313 MB 00e04b49 download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-IQ2_S.gguf 311 MB 0503ab53 download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-IQ2_XS.gguf 309 MB 6f908e4a download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-IQ2_XXS.gguf 307 MB 97d8c98d download
IQ1 2 files 604 MB
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-IQ1_M.gguf 303 MB ddcdc0a6 download
Qwen2.5-Coder-0.5B-Instruct-abliterated.i1-IQ1_S.gguf 301 MB 7d166812 download
Auxiliary files 3 files 976 KB
imatrix.dat 965 KB c33034a9 download
README.md 6.63 KB afc798bb download
.gitattributes 3.52 KB 05ccbe3c download

README current version from Hugging Face


base_model: huihui-ai/Qwen2.5-Coder-0.5B-Instruct-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Qwen2.5-Coder-0.5B-Instruct-abliterated

static quants are available at https://huggingface.co/mradermacher/Qwen2.5-Coder-0.5B-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 0.4 for the desperate
GGUF i1-IQ1_M 0.4 mostly desperate
GGUF i1-IQ2_XXS 0.4
GGUF i1-IQ2_XS 0.4
GGUF i1-IQ2_S 0.4
GGUF i1-IQ2_M 0.4
GGUF i1-IQ3_XXS 0.4 lower quality
GGUF i1-Q3_K_S 0.4 IQ3_XS probably better
GGUF i1-IQ3_S 0.4 beats Q3_K*
GGUF i1-IQ3_XS 0.4
GGUF i1-Q2_K 0.4 IQ3_XXS probably better
GGUF i1-IQ3_M 0.4
GGUF i1-IQ4_XS 0.4
GGUF i1-Q4_0_4_4 0.5 fast on arm, low quality
GGUF i1-Q4_0_4_8 0.5 fast on arm+i8mm, low quality
GGUF i1-Q4_0_8_8 0.5 fast on arm+sve, low quality
GGUF i1-Q4_0 0.5 fast, low quality
GGUF i1-Q3_K_M 0.5 IQ3_S probably better
GGUF i1-Q3_K_L 0.5 IQ3_M probably better
GGUF i1-Q4_K_S 0.5 optimal size/speed/quality
GGUF i1-Q4_K_M 0.5 fast, recommended
GGUF i1-Q5_K_S 0.5
GGUF i1-Q5_K_M 0.5
GGUF i1-Q6_K 0.6 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 2 versions

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

  1. 2024-11-13auto-patch README.md2e0588f6.6 KB
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  2. 2024-11-13uploaded from nethype/db1e429a81257 B
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