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

Iambackup/Phi-3-medium-4k-instruct-abliterated-v3-i1-GGUF

Iambackup Phi GGUF second-order 4K ctx
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Response includes
  • classification m8
  • files 3
  • benchmarks 5 entries
  • hub_downloads_all_time 439
  • author_summary 36 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
MEDIUM
Inherited from base model
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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
439
12 last 30d - cooling
Likes
0
Model age
4mo ago
created 2026-06-12
Downloads over time
Now443→from0↑0%
01623254870 on Jun 10443 on Oct 11443 on Oct 8JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 days

Benchmarks

Benchmark Score Source
BBH average 0.5636269295628487 OpenLLM-v2
IFEval instruct 0.6834532374100719 OpenLLM-v2
IFEval-Prompt 0.5804066543438078 OpenLLM-v2
MATH lvl 5 0.14123867069486404 OpenLLM-v2
MMLU-Pro 0.4399933510638298 OpenLLM-v2

Genealogy 0 direct forks

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Metadata

License
mit
Languages
multilingual
Quantizations
Q6_K
Tags
transformers gguf nlp code multilingual base_model:failspy/Phi-3-medium-4k-instruct-abliterated-v3 base_model:quantized:failspy/Phi-3-medium-4k-instruct-abliterated-v3 license:mit endpoints_compatible region:us imatrix conversational

Related

Total size
10.7 GB
Files
3
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-06-12 17:17

Files by quantization

Q6_K 1 file 10.7 GB
Phi-3-medium-4k-instruct-abliterated-v3.i1-Q6_K.gguf 10.7 GB 4247516f download
Auxiliary files 2 files 10.3 KB
README.md 6.68 KB 869a0de2 download
.gitattributes 3.65 KB be3b0bdf download

README current version from Hugging Face


base_model: failspy/Phi-3-medium-4k-instruct-abliterated-v3
language:


About

weighted/imatrix quants of https://huggingface.co/failspy/Phi-3-medium-4k-instruct-abliterated-v3

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

static quants are available at https://huggingface.co/mradermacher/Phi-3-medium-4k-instruct-abliterated-v3-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 3.1 for the desperate
GGUF i1-IQ1_M 3.3 mostly desperate
GGUF i1-IQ2_XXS 3.8
GGUF i1-IQ2_XS 4.2
GGUF i1-IQ2_S 4.4
GGUF i1-IQ2_M 4.8
GGUF i1-Q2_K_S 4.9 very low quality
GGUF i1-Q2_K 5.2 IQ3_XXS probably better
GGUF i1-IQ3_XXS 5.6 lower quality
GGUF i1-IQ3_XS 5.9
GGUF i1-IQ3_S 6.2 beats Q3_K*
GGUF i1-Q3_K_S 6.2 IQ3_XS probably better
GGUF i1-IQ3_M 6.6
GGUF i1-Q3_K_M 7.0 IQ3_S probably better
GGUF i1-IQ4_XS 7.6
GGUF i1-Q3_K_L 7.6 IQ3_M probably better
GGUF i1-IQ4_NL 8.0 prefer IQ4_XS
GGUF i1-Q4_0 8.0 fast, low quality
GGUF i1-Q4_K_S 8.1 optimal size/speed/quality
GGUF i1-Q4_K_M 8.7 fast, recommended
GGUF i1-Q4_1 8.9
GGUF i1-Q5_K_S 9.7
GGUF i1-Q5_K_M 10.2
GGUF i1-Q6_K 11.6 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 1 version

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

  1. 2026-06-12Duplicate from mradermacher/Phi-3-medium-4k-instruct-abliterated-v3-i1-GGUFe6476046.7 KB
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