metadata

base_model:
  - PocketDoc/Dans-PersonalityEngine-V1.2.0-24b
  - SicariusSicariiStuff/Redemption_Wind_24B
tags:
  - merge
  - mergekit
  - lazymergekit
  - PocketDoc/Dans-PersonalityEngine-V1.2.0-24b
  - SicariusSicariiStuff/Redemption_Wind_24B

WindEngine-24B-Instruct

WinterEngine-24B-Instruct

  
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Key Details

BASE MODEL: mistralai/Mistral-Small-24B-Base-2501
LICENSE: apache-2.0
LANGUAGE: English
CONTEXT LENGTH: 32768 tokens

Recommended Settings

TEMPERATURE: 1.2
MIN_P: 0.05
(Everything Else Neutral MEME Samplers Too.)

Prompting Format

<|im_start|>system
system prompt<|im_end|>
<|im_start|>user
Hello, WinterEngine!<|im_end|>
<|im_start|>assistant
Hello! How can I help you today?<|im_end|>

Quants

I-mat: https://huggingface.co/mradermacher/WindEngine-24B-Instruct-i1-GGUF
Normal: https://huggingface.co/mradermacher/WindEngine-24B-Instruct-GGUF
Big Thanks to mradermacher for the Quants.

Story

You can ignore this if you want, but I just wanted to share something. 
I was trying to create a model that follows prompts well, stays uncensored, and brings a lot of creativity — especially with roleplay capabilities. 
Started out using the base 24B Instruct model — it was decent, but felt a bit dry and overly censored.
So, I began testing and merging different models.
Then found PersonalityEngine 24B, which followed instructions well and had solid roleplay potential, though it felt a little bland.
Discovered Redemption Winds — much better at roleplay, but not as strong when it came to following instructions. After trying three different model merges, this pairing turned out to be the best combination.
[The result? A model that follows instructions, excels at roleplay, and — for my single folks out there — works great for AI girlfriend roleplay, too.]

LazyMergekit:

🧩 Configuration

slices:
  - sources:
      - model: PocketDoc/Dans-PersonalityEngine-V1.2.0-24b
        layer_range: [0, 40]
      - model: SicariusSicariiStuff/Redemption_Wind_24B
        layer_range: [0, 40]
merge_method: slerp
base_model: PocketDoc/Dans-PersonalityEngine-V1.2.0-24b
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16