← back to catalog · registered 2026-08-22 13:56

mradermacher/Phi-4-mini-instruct-abliterated-i1-GGUF

mradermacher Phi GGUF second-order 131K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FPhi-4-mini-instruct-abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 16,155
  • author_summary 3324 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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='lunahr/Phi-4-mini-instruct-abliterated' (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
16K
1K last 30d - cooling
Likes
2
Model age
18mo ago
created 2025-04-02
Downloads over time
Now16.5K→from3.4K↑381%
2.8K7.8K12.8K17.8K3.4K on Apr 2, 202516.5K on Oct 11Apr '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 · 2K downloads combined

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

Metadata

License
mit
Languages
multilingual ar zh cs da nl en fi fr de he hu it ja ko pl pt ru es sv th tr uk
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf nlp code abliterated multilingual ar zh cs da nl en

Related

Total size
44.5 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-11 07:02

Files by quantization

Q6_K 1 file 2.94 GB
Phi-4-mini-instruct-abliterated.i1-Q6_K.gguf 2.94 GB b68bd6ed download
Q5_K 2 files 5.19 GB
Phi-4-mini-instruct-abliterated.i1-Q5_K_M.gguf 2.65 GB d68d0772 download
Phi-4-mini-instruct-abliterated.i1-Q5_K_S.gguf 2.54 GB d396985e download
Q4 2 files 4.52 GB
Phi-4-mini-instruct-abliterated.i1-Q4_1.gguf 2.35 GB 54d660a2 download
Phi-4-mini-instruct-abliterated.i1-Q4_0.gguf 2.17 GB 7f458bba download
Q4_K 2 files 4.50 GB
Phi-4-mini-instruct-abliterated.i1-Q4_K_M.gguf 2.32 GB 4daaad3f download
Phi-4-mini-instruct-abliterated.i1-Q4_K_S.gguf 2.18 GB ba4d8796 download
IQ4 2 files 4.24 GB
Phi-4-mini-instruct-abliterated.i1-IQ4_NL.gguf 2.17 GB 55f7531e download
Phi-4-mini-instruct-abliterated.i1-IQ4_XS.gguf 2.07 GB 4a91952c download
Q3_K 3 files 5.83 GB
Phi-4-mini-instruct-abliterated.i1-Q3_K_L.gguf 2.10 GB 299fd69a download
Phi-4-mini-instruct-abliterated.i1-Q3_K_M.gguf 1.97 GB 2ac7498e download
Phi-4-mini-instruct-abliterated.i1-Q3_K_S.gguf 1.77 GB f54db444 download
IQ3 4 files 6.92 GB
Phi-4-mini-instruct-abliterated.i1-IQ3_M.gguf 1.88 GB 82d9c435 download
Phi-4-mini-instruct-abliterated.i1-IQ3_S.gguf 1.77 GB f65bc5a0 download
Phi-4-mini-instruct-abliterated.i1-IQ3_XS.gguf 1.71 GB 8e643689 download
Phi-4-mini-instruct-abliterated.i1-IQ3_XXS.gguf 1.56 GB bac1df06 download
Q2_K 2 files 3.05 GB
Phi-4-mini-instruct-abliterated.i1-Q2_K.gguf 1.57 GB fcdd853b download
Phi-4-mini-instruct-abliterated.i1-Q2_K_S.gguf 1.48 GB 45f526d5 download
IQ2 4 files 5.18 GB
Phi-4-mini-instruct-abliterated.i1-IQ2_M.gguf 1.40 GB ea82f95b download
Phi-4-mini-instruct-abliterated.i1-IQ2_S.gguf 1.32 GB 1be03063 download
Phi-4-mini-instruct-abliterated.i1-IQ2_XS.gguf 1.27 GB 71515356 download
Phi-4-mini-instruct-abliterated.i1-IQ2_XXS.gguf 1.18 GB 0ecdbdbb download
IQ1 2 files 2.10 GB
Phi-4-mini-instruct-abliterated.i1-IQ1_M.gguf 1.08 GB e6f219a5 download
Phi-4-mini-instruct-abliterated.i1-IQ1_S.gguf 1.02 GB 53136f8c download
Auxiliary files 3 files 2.14 MB
imatrix.dat 2.13 MB 3b779887 download
README.md 6.39 KB 919d9f18 download
.gitattributes 3.46 KB 0768c4c1 download

README current version from Hugging Face


base_model: lunahr/Phi-4-mini-instruct-abliterated
language:


About

weighted/imatrix quants of https://huggingface.co/lunahr/Phi-4-mini-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/Phi-4-mini-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 1.2 for the desperate
GGUF i1-IQ1_M 1.3 mostly desperate
GGUF i1-IQ2_XXS 1.4
GGUF i1-IQ2_XS 1.5
GGUF i1-IQ2_S 1.5
GGUF i1-IQ2_M 1.6
GGUF i1-Q2_K_S 1.7 very low quality
GGUF i1-IQ3_XXS 1.8 lower quality
GGUF i1-Q2_K 1.8 IQ3_XXS probably better
GGUF i1-IQ3_XS 1.9
GGUF i1-IQ3_S 2.0 beats Q3_K*
GGUF i1-Q3_K_S 2.0 IQ3_XS probably better
GGUF i1-IQ3_M 2.1
GGUF i1-Q3_K_M 2.2 IQ3_S probably better
GGUF i1-IQ4_XS 2.3
GGUF i1-Q3_K_L 2.3 IQ3_M probably better
GGUF i1-IQ4_NL 2.4 prefer IQ4_XS
GGUF i1-Q4_0 2.4 fast, low quality
GGUF i1-Q4_K_S 2.4 optimal size/speed/quality
GGUF i1-Q4_K_M 2.6 fast, recommended
GGUF i1-Q4_1 2.6
GGUF i1-Q5_K_S 2.8
GGUF i1-Q5_K_M 2.9
GGUF i1-Q6_K 3.3 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.mdc341f576.4 KB
    Loading...
  2. 2025-07-10auto-patch README.md8c2178d6.4 KB
    Loading...
  3. 2025-04-02auto-patch README.mde28c0496.2 KB
    Loading...
  4. 2025-04-02uploaded from marcof8436f5246 B
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration