Type	Size	CLI
H8-4.25BPW	13.85 GB	Copy-paste the line / Download the batch file
H8-6.0BPW	18.72 GB	Copy-paste the line / Download the batch file
H8-8.0BPW	24.27 GB	Copy-paste the line / Download the batch file

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

Licensing

License detected: apache-2.0

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.

Backups

Date: 29.01.2026

Source files

Source page (click to expand)

Rei-Pulse-24B

A merge of specialized 24B Rp models

⚠️ Attention: It works with ChatML format and Mistral V7-Tekken (no thinking output) i didn't test the Thinking.

Tested using Ik_llama.cpp as the backend and Sillytavern as the frontend

🌟 Overview

Rei-Pulse-24B is a merge built on top of Morax-24B-v1.

The model uses the DARE TIES method

🧩 Models Merged

This model results from a merge between:

DarkArtsForge/Morax-24B-v1 (Base)
OddTheGreat/Circuitry_24B_V.3
Delta-Vector/Rei-24B-KTO
TheDrummer/Precog-24B-v1
TheDrummer/Rivermind-24B-v1

🛠️ Merge Details

Method: DARE TIES

The merge was performed using mergekit with the following parameters:

Base Model: Morax-24B-v1
Dtype: bfloat16
Density: 0.5
Weight: 0.2

⚙️ Configuration

View Full Mergekit YAML

yaml

base_model: DarkArtsForge/Morax-24B-v1
dtype: bfloat16
merge_method: dare_ties
modules:
  default:
    slices:
    - sources:
      - layer_range: [0, 40]
        model: DarkArtsForge/Morax-24B-v1
        parameters:
          density: 0.5
          weight: 0.2
      - layer_range: [0, 40]
        model: TheDrummer/Rivermind-24B-v1
        parameters:
          density: 0.5
          weight: 0.2
      - layer_range: [0, 40]
        model: OddTheGreat/Circuitry_24B_V.3
        parameters:
          density: 0.5
          weight: 0.2
      - layer_range: [0, 40]
        model: Delta-Vector/Rei-24B-KTO
        parameters:
          density: 0.5
          weight: 0.2
      - layer_range: [0, 40]
        model: TheDrummer/Precog-24B-v1
        parameters:
          density: 0.5
          weight: 0.2
parameters:
  lambda: 0.75
  normalize: True
tokenizer:
  source: base

📦 Rei-Pulse 24B — GGUF

Download the GGUF builds below:

Static GGUF quant Imatrix GGUF quant

EXL3 quant

💙 Thanks to team mradermacher for providing the quants 💙 And thanks to DeathGodlike for the EXL3 quant format

✨ Acknowledgements

Thanks to the authors of the original models for their incredible work:

DarkArtsForge for Morax-24B-v1
OddTheGreat for Circuitry_24B_V.3
Delta-Vector for Rei-24B-KTO
TheDrummer for Precog-24B-v1 and Rivermind-24B-v1

DeathGodlike/MrRikyz_Rei-Pulse-24B_EXL3

Source model

Provided quantized models