Vesper-Zenith-12B

<style> .vesper-wrapper { background: linear-gradient(180deg, #060814 0%, #120b29 50%, #2a0a4a 100%); color: #e2e8f0; font-family: 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; padding: 30px; border-radius: 20px; border: 1px solid #311b92; line-height: 1.6; box-shadow: inset 0 0 50px rgba(213, 0, 249, 0.05); } .header-container { text-align: center; padding-bottom: 20px; } .vesper-title { font-size: 2.5rem; font-weight: 900; margin: 0; letter-spacing: 2px; text-transform: uppercase; } /* The text gets a gradient from the cyan starlight to the magenta clouds */ .vesper-title span.gradient-text { background: linear-gradient(90deg, #00e5ff 0%, #d500f9 50%, #ff4081 100%); -webkit-background-clip: text; -webkit-text-fill-color: transparent; display: inline-block; filter: drop-shadow(0 0 12px rgba(213, 0, 249, 0.4)); } .vesper-subtitle { color: #b39ddb; text-transform: uppercase; letter-spacing: 6px; font-size: 0.9rem; margin-top: 10px; font-weight: 600; } .cosmic-card { background: rgba(15, 10, 35, 0.6); border-left: 4px solid #d500f9; padding: 20px; margin: 20px 0; border-radius: 0 12px 12px 0; box-shadow: 10px 0 30px rgba(213, 0, 249, 0.08); } .cyan-card { border-left-color: #00e5ff; box-shadow: 10px 0 30px rgba(0, 229, 255, 0.08); } .lunar-card { border-left-color: #ffe57f; box-shadow: 10px 0 30px rgba(255, 229, 127, 0.08); } .stat-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(150px, 1fr)); gap: 15px; margin: 20px 0; } .stat-item { text-align: center; padding: 15px; background: rgba(5, 5, 15, 0.8); border: 1px solid #4a148c; border-radius: 15px; box-shadow: 0 4px 10px rgba(0, 0, 0, 0.5); } .stat-value { display: block; font-size: 1.2rem; font-weight: bold; color: #00e5ff; text-shadow: 0 0 8px rgba(0, 229, 255, 0.5); } .stat-value.magenta { color: #ff4081; text-shadow: 0 0 8px rgba(255, 64, 129, 0.5); } </style> <div class="vesper-wrapper"> <div class="header-container"> <h1 class="vesper-title"> 🌕 <span class="gradient-text">VESPER ZENITH 12B</span> ✨ </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;">🌌 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.

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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

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