DarkArtsForge/Vesper-Zenith-12B
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<div class="vesper-wrapper">
<div class="header-container"> <h1 class="vesper-title"> ๐ <span class="gradient-text">VESPER ZENITH 12B</span> โจ </h1> <div class="vesper-subtitle"> BEYOND THE ASTRAL VEIL <img src="https://cdn-uploads.huggingface.co/production/uploads/68e840caa318194c44ec2a04/8sWlwh-FjfgmXXys60Av7.png" width="100%" style="border-radius: 12px; border: 1px solid #4a148c; margin-bottom: 20px; box-shadow: 0 0 20px rgba(213, 0, 249, 0.2);" alt="Vesper Zenith"> </div> </div>
<div class="stat-grid"> <div class="stat-item"><span class="stat-value">CREATIVITY</span><span style="font-size: 0.75rem; color: #9fa8da;">UNBOUND</span></div> <div class="stat-item"><span class="stat-value magenta">ROLEPLAY</span><span style="font-size: 0.75rem; color: #9fa8da;">IMMERSIVE</span></div> <div class="stat-item"><span class="stat-value">LOGIC</span><span style="font-size: 0.75rem; color: #9fa8da;">ENHANCED</span></div> </div>
<div class="cosmic-card"> <h3 style="color: #ea80fc; margin-top: 0;">๐ About The Model</h3>
This is a merge of pre-trained language models created using mergekit.
It's recommended to use the ChatML template with this model, although it also works with Mistral Tekken.
There are some refusals but it's very creative and sadistic when prompted, and it can be ablated or jailbroken if needed.
Merge Details
Merge Method
This model was merged using the DELLA merge method using mistralai/Mistral-Nemo-Instruct-2407 as a base.
Models Merged
The following models were included in the merge:
- mistralai/Mistral-Nemo-Instruct-2407
- DarkArtsForge/MN-Raven-12B-v1
- Lambent/Arsenic-Shahrazad-12B-v4.4
- Retreatcost/Evertide-RX-12B
- WokeAI/Tankie-DPE-12B-SFT-v2
Configuration
The following YAML configuration was used to produce this model:
architecture: MistralForCausalLM
base_model: B:\12B\mistralai--Mistral-Nemo-Instruct-2407
models:
- model: B:\12B\MN-Raven-12B-v1
parameters:
weight: 0.25
density: 0.9
epsilon: 0.09
- model: B:\12B\Lambent--Arsenic-Shahrazad-12B-v4.4
parameters:
weight: 0.25
density: 0.9
epsilon: 0.09
- model: B:\12B\Retreatcost--Evertide-RX-12B
parameters:
weight: 0.25
density: 0.9
epsilon: 0.09
- model: B:\12B\WokeAI--Tankie-DPE-12B-SFT-v2
parameters:
weight: 0.25
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</div>
</div>
