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SOMEHOTMEAL/Ministral-3-14B-Janus-Abliterated-V2-Base_And_GGUF

SOMEHOTMEAL 14B GGUF multimodal 262K ctx
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Response includes
  • classification m5
  • files 20
  • benchmarks 11 entries
  • hub_downloads_all_time 649
  • author_summary 13 models
  • readme_text full
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 GET/methods/m5
What "m5" means · taxonomy
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M5
Primary method

Mergekit merge

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
M1 Direct removal →
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.
  • merge tag / mergekit / dare-ties in tags or name
  • no unusual architecture pattern (regular merge)
  • abliterated marker present
How we label → About M5 →
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
649
544 last 30d - active
Likes
2
Model age
6w ago
created 2026-09-13
Downloads over time
Now1.2K→from0↑0%
04378741.3K0 on Sep 131.2K on Oct 29SepOct
Sep 13 → Oct 29 · 47 snapshots · spans 46 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 0.9 UGI
Hazardous 3.5 UGI
Natural Intelligence 16.73 UGI
Political lean -24.5% UGI
Sensitive-Info 17.6 UGI
SocPol 1.4 UGI
UGI 32.57 UGI
Willingness (10) 6.2 UGI
W10-Adherence 8.5 UGI
W10-Direct 4 UGI
Writing 31.44 UGI

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.

mistralai/Ministral-3-14B-Instruct-2512 this lineage
SOMEHOTMEAL/Ministral-3-14B-Janus-Abliterated-V2-Base_And_GGUF↓ 544

Metadata

Quantizations
Q4_K
Tags
transformers safetensors gguf mistral3 image-text-to-text mergekit merge conversational arxiv:2311.03099 base_model:jenerallee78/Ministral-3-14B-abliterated base_model:merge:jenerallee78/Ministral-3-14B-abliterated base_model:mistralai/Ministral-3-14B-Instruct-2512

Related

Other by SOMEHOTMEAL
LLama-3.1-8B-Janus-Abliterated-V2-Base_And_GGUF 564 Gemma-3-12B-Janus-Abliterated-V2-Base_And_GGUF 446 _Broken-quants_Gemma-4-12B-Janus-Abliterated-V2-Base_And_GGUF 375 Qwen3.5-9B-Janus-Abliterated-V2-Base_And_GGUF 325 Qwen3.5-9B-Janus-Abliterated-V2-Safetensors 210
Same base model
timfromhcs/Ministral-3-14B-abliterated 675 HifiHu/Ministral-3-14B-abliterated 177 jenerallee78/Ministral-3-14B-abliterated 70
Total size
87.4 GB
Files
20
Quantizations
2
Registered
2026-09-13 16:56
Last updated on HF
2026-09-13 16:48
Source huggingface.co/SOMEHOTMEAL/Ministral-3-14B-Janus-Abliterated-V2-Base_And_GGUF ↗ Base model mistralai/Ministral-3-14B-Instruct-2512 ↗

Files by quantization

Q4_K 1 file 7.67 GB
Ministral-3-14B-Janus-Abliterated-V2-Q4_K_M-GGUF.gguf 7.67 GB 0a503cbc download
Auxiliary files 19 files 79.7 GB
Ministral-3-14B-Janus-Abliterated-V2-f16-GGUF.gguf 25.2 GB 7d8a169d download
Ministral-3-14B-Janus-Abliterated-V2-Q8_0-GGUF.gguf 13.4 GB 8dfa7f58 download
Ministral-3-14B-Janus-Abliterated-V2-Q6_K-GGUF.gguf 10.3 GB 5065ad57 download
Ministral-3-14B-Janus-Abliterated-V2-Q2_K-GGUF.gguf 4.89 GB b5acfefc download
model-00002-of-00006.safetensors 4.53 GB 705c57b6 download
model-00003-of-00006.safetensors 4.53 GB 78f03e4e download
model-00004-of-00006.safetensors 4.53 GB 881eeaa3 download
model-00005-of-00006.safetensors 4.53 GB c81be3b3 download
model-00001-of-00006.safetensors 4.51 GB 5c5eecb2 download
model-00006-of-00006.safetensors 3.34 GB 24092c03 download
tokenizer.json 16.3 MB 99cf2742 download
model.safetensors.index.json 57.2 KB bac1d3cb download
tokenizer_config.json 21.7 KB 90a7cc1c download
chat_template.jinja 11.8 KB dc2c84ef download
config.json 2.04 KB 00e9a72b download
.gitattributes 1.96 KB b749b008 download
README.md 1.08 KB 08db1b37 download
processor_config.json 976 B a37d728b download
mergekit_config.yml 243 B 784bbbd5 download

README current version from Hugging Face

base_model:

  • mistralai/Ministral-3-14B-Instruct-2512
  • jenerallee78/Ministral-3-14B-abliterated
    library_name: transformers
    tags:
  • mergekit
  • merge

Ministral-3-14B-Janus-Abliterated-V2

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Linear DARE merge method using mistralai/Ministral-3-14B-Instruct-2512 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: dare_linear
base_model: mistralai/Ministral-3-14B-Instruct-2512

models:
  - model: jenerallee78/Ministral-3-14B-abliterated
    parameters:
      weight: 0.60
      density: 0.70

dtype: bfloat16
tokenizer_source: base

README history 1 version

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

  1. 2026-09-13Upload folder using huggingface_hub441ab2a1 KB
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