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

base model: mistralai/Ministral 3 14B Instruct 2512 jenerallee78/Ministral 3 14B abliterated library name: transformers tags: mergekit merge Ministral 3 14B Ja…

transformerssafetensorsggufmistral3image-text-to-textmergekitmergeconversationalarxiv:2311.03099base_model:jenerallee78/Ministral-3-14B-abliteratedbase_model:merge:jenerallee78/Ministral-3-14B-abliteratedbase_model:mistralai/Ministral-3-14B-Instruct-2512base_model:merge:mistralai/Ministral-3-14B-Instruct-2512endpoints_compatiblefp8region:us

Runs locally from ~4.89 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

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Likes
2
Pipeline
image-text-to-text

Repository Files & Downloads

5 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Ministral-3-14B-Janus-Abliterated-V2-Q2_K-GGUF.ggufGGUFQ2_K4.89 GBDownload
Ministral-3-14B-Janus-Abliterated-V2-Q4_K_M-GGUF.ggufGGUFQ4_K_M7.67 GBDownload
Ministral-3-14B-Janus-Abliterated-V2-Q6_K-GGUF.ggufGGUFQ6_K10.33 GBDownload
Ministral-3-14B-Janus-Abliterated-V2-Q8_0-GGUF.ggufGGUFQ8_013.37 GBDownload
Ministral-3-14B-Janus-Abliterated-V2-f16-GGUF.ggufGGUFF1625.17 GBDownload

Model Details

Model IDSOMEHOTMEAL/Ministral-3-14B-Janus-Abliterated-V2-Base_And_GGUF
AuthorSOMEHOTMEAL
Pipelineimage-text-to-text
License
Base modelmistralai/Ministral-3-14B-Instruct-2512,jenerallee78/Ministral-3-14B-abliterated
Last modified2026-09-13T16:48:30.000Z

Model README

---

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

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