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DeathGodlike/Casual-Autopsy_RP-Spectrum-24B_EXL3
Casual-Autopsy_RP-Spectrum-24B_EXL3 is a text generation model from DeathGodlike. Use it when you need the model to write or continue text. It is set up for safetensors.
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From the Hugging Face model README
RP-Spectrum-24B by Casual-Autopsy
ExLlamaV3: release v0.0.20
| 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.
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.
Date: 03.02.2026
<details> <summary>Source page (click to expand)</summary>A merge of some of the best RP finetunes the community has to offer.
This model was merged using the DELLA merge method using mistralai/Mistral-Small-3.2-24B-Instruct-2506 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: mistralai/Mistral-Small-3.2-24B-Instruct-2506
- model: zerofata/MS3.2-PaintedFantasy-v3-24B # Pink/Red
parameters:
weight: 0.3
density: 1.0
epsilon: 0.0
- model: TheDrummer/Cydonia-24B-v4 # Black
parameters:
weight: 0.3
density: 0.4
epsilon: 0.25
- model: CrucibleLab/M3.2-24B-Loki-V1.3 # Green
parameters:
weight: 0.3
density: 0.4
epsilon: 0.25
- model: Gryphe/Codex-24B-Small-3.2 # Blue (Yes, blue. Fuck you.)
parameters:
weight: 0.3
density: 0.4
epsilon: 0.25
- model: ReadyArt/Dark-Nexus-24B-v2.0 # Orange
parameters:
weight: 0.3
density: 0.4
epsilon: 0.25
- model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond # White
parameters:
weight: 0.3
density: 0.4
epsilon: 0.25
# Seed: 199803
merge_method: della
parameters:
lambda: 0.9
normalize: true
int8_mask: false
base_model: mistralai/Mistral-Small-3.2-24B-Instruct-2506
dtype: float32
out_dtype: bfloat16
tokenizer:
source: zerofata/MS3.2-PaintedFantasy-v3-24B
</details>