DXP-Zero-V1.0-24b-Small-Instruct

Notice:

• The model might lack the necessary evil for making story twisty or dark adventure but it make ammend on creating coherent story in long context form. Perfect for romance, adventure, sci-fi, and even general purpose.

So i was browsing for Mistral finetune and found this base model by ZeroAgency, and oh boy... It was perfect! So here are few notable improvements i observed.

Pros:

• Increased output for storytelling or roleplay.
• Dynamic output (it can adjust how much output, i mean like when you go with shorter prompt it will do smaller outputs and so does with longer prompt more output too).
• Less repetitive (though it depends on your own prompt and settings).
• I have tested with 49444/65536 tokens no degradation although i notice it's actually learning the context better and it's impacting the output a lot. (what i don't like is, it's learning the previous context(of turns) too quickly and set it as new standards.).

Tested genres:

• Romance/Bromance

Added note: I was testing using my own quantization i1-Q5-K-M. Download i1-GGUF here.

Merge Details

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

Merge Method

This model was merged using the TIES merge method using ZeroAgency/Mistral-Small-3.1-24B-Instruct-2503-hf as a base.

Models Merged

The following models were included in the merge:

• PocketDoc/Dans-PersonalityEngine-V1.2.0-24b
• Gryphe/Pantheon-RP-1.8-24b-Small-3.1

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Gryphe/Pantheon-RP-1.8-24b-Small-3.1
    parameters:
      density: 0.7
      weight: 0.7
  - model: PocketDoc/Dans-PersonalityEngine-V1.2.0-24b
    parameters:
      density: 0.5
      weight: 0.5
      
merge_method: ties
base_model: ZeroAgency/Mistral-Small-3.1-24B-Instruct-2503-hf
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16
tokenizer: 
 source: ZeroAgency/Mistral-Small-3.1-24B-Instruct-2503-hf