DeathGodlike/DarkArtsForge_Morax-24B-v2_EXL3

Source model

Morax-24B-v2 by DarkArtsForge

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Quantized models

ExLlamaV3: v0.0.43

Type	Size	CLI
H8-4.0BPW	13.16 GB	Copy-paste the lines / Download the batch file
H8-6.0BPW	18.72 GB	Copy-paste the lines / Download the batch file
H8-8.0BPW	24.27 GB	Copy-paste the lines / Download the batch file

Requirements: A python installation with huggingface-hub module to use CLI.

Licensing

License detected: unknown

The license for the provided quantized models is inherited from the source model (which incorporates the license of its original base model). For definitive licensing information, please refer first to the page of the source or base models. File and page backups of the source model are provided below.

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Backups

Date: 28.06.2026

Source files

Source page (click to expand)

⚠️ Warning: This model can produce narratives and RP that contain violent and graphic erotic content. Adjust your system prompt accordingly. Also, use Mistral Tekken template for best results.

👹 Morax 24B v2

This is a creative, intelligent, uncensored, and evil-tuned merge of pre-trained language models created using mergekit.

The result of this merge is quite interesting. Sometimes it chooses to think, and sometimes it doesn't. You can force it to use thinking or nothink if you want though.

Morax v2 should have no refusals and therefore not require any ablation or jailbreaks. It scored noticeably higher on Q0 Bench as well (10351 compared to v1's 7656).

Version 2 is noticeably more deranged and depraved than v1. While v1 had a few refusals, v2 is confirmed not to have any, due to the normalize: false setting.

I noticed it also uses thinking more often than v1. But you can add <think></nothink> to disable it.

I tested several prompts from Q0 Bench which usually trigger EOS with other models like Naphula-Archives/T13-24B-GGUF and it appears to not have any early terminations with thinking mode.

Merge Details

Merge Method

This model was merged using the della merge method.

Models Merged

The following models were included in the merge:

• Darkhn/Magistral-2509-24B-Text-Only
• Naphula/BeaverAI_Fallen-Mistral-Small-3.1-24B-v1e_textonly
• TheDrummer/Precog-24B-v1

Configuration

The following YAML configuration was used to produce this model:

architecture: MistralForCausalLM
base_model: B:\24B\Darkhn--Magistral-2509-24B-Text-Only
models:
  - model: B:\24B\!BeaverAI_Fallen-Mistral-Small-3.1-24B-v1e_textonly
    parameters:
      weight: 1.0
      density: 0.9
      epsilon: 0.09
  - model: A:\LLM\.cache\24B\!models--TheDrummer--Precog-24B-v1
    parameters:
      weight: 2.0
      density: 0.9
      epsilon: 0.09
merge_method: della
parameters:  
  lambda: 1.0
  normalize: false
  int8_mask: false
  rescale: true
dtype: float32
out_dtype: bfloat16
tokenizer:
  source: union
chat_template: auto